no code implementations • 4 Jun 2018 • Hui Zhou, Wanli Ouyang, Jian Cheng, Xiaogang Wang, Hongsheng Li
In addition, inter-object relations are mostly modeled in a symmetric way, which we argue is not an optimal setting.
no code implementations • 25 Apr 2018 • Zhe Wang, Hongsheng Li, Wanli Ouyang, Xiaogang Wang
Statistical features, such as histogram, Bag-of-Words (BoW) and Fisher Vector, were commonly used with hand-crafted features in conventional classification methods, but attract less attention since the popularity of deep learning methods.
no code implementations • CVPR 2018 • Wei Yang, Wanli Ouyang, Xiaolong Wang, Jimmy Ren, Hongsheng Li, Xiaogang Wang
Instead of defining hard-coded rules to constrain the pose estimation results, we design a novel multi-source discriminator to distinguish the predicted 3D poses from the ground-truth, which helps to enforce the pose estimator to generate anthropometrically valid poses even with images in the wild.
Ranked #1 on Monocular 3D Human Pose Estimation on Human3.6M (Use Video Sequence metric)
no code implementations • ECCV 2018 • Xihui Liu, Hongsheng Li, Jing Shao, Dapeng Chen, Xiaogang Wang
The aim of image captioning is to generate captions by machine to describe image contents.
no code implementations • ICCV 2017 • Qi Chu, Wanli Ouyang, Hongsheng Li, Xiaogang Wang, Bin Liu, Nenghai Yu
The visibility map of the target is learned and used for inferring the spatial attention map.
no code implementations • ICCV 2017 • Yantao Shen, Tong Xiao, Hongsheng Li, Shuai Yi, Xiaogang Wang
Vehicle re-identification is an important problem and has many applications in video surveillance and intelligent transportation.
no code implementations • ICCV 2017 • Shuang Li, Tong Xiao, Hongsheng Li, Wei Yang, Xiaogang Wang
The stage-2 CNN-LSTM network refines the matching results with a latent co-attention mechanism.
no code implementations • 14 Jun 2017 • Zhe Wang, Yanxin Yin, Jianping Shi, Wei Fang, Hongsheng Li, Xiaogang Wang
We propose a convolution neural network based algorithm for simultaneously diagnosing diabetic retinopathy and highlighting suspicious regions.
no code implementations • 8 Jun 2017 • Zhe Wang, Hongsheng Li, Wanli Ouyang, Xiaogang Wang
The experiments show that our proposed method makes deep models learn more discriminative feature representations without increasing model size or complexity.
no code implementations • NeurIPS 2016 • Xiao Chu, Wanli Ouyang, Hongsheng Li, Xiaogang Wang
In a classical neural network, there is no message passing between neurons in the same layer.
no code implementations • CVPR 2016 • Xiao Chu, Wanli Ouyang, Hongsheng Li, Xiaogang Wang
In this paper, we propose a structured feature learning framework to reason the correlations among body joints at the feature level in human pose estimation.
no code implementations • CVPR 2015 • Wanli Ouyang, Xiaogang Wang, Xingyu Zeng, Shi Qiu, Ping Luo, Yonglong Tian, Hongsheng Li, Shuo Yang, Zhe Wang, Chen-Change Loy, Xiaoou Tang
In this paper, we propose deformable deep convolutional neural networks for generic object detection.
no code implementations • 18 Nov 2014 • Chen Chen, Junzhou Huang, Lei He, Hongsheng Li
The convergence rate of the proposed algorithm is almost the same as that of the traditional IRLS algorithms, that is, exponentially fast.
no code implementations • 15 Dec 2014 • Hongsheng Li, Rui Zhao, Xiaogang Wang
The proposed algorithms eliminate all the redundant computation in convolution and pooling on images by introducing novel d-regularly sparse kernels.
no code implementations • 11 Sep 2014 • Wanli Ouyang, Ping Luo, Xingyu Zeng, Shi Qiu, Yonglong Tian, Hongsheng Li, Shuo Yang, Zhe Wang, Yuanjun Xiong, Chen Qian, Zhenyao Zhu, Ruohui Wang, Chen-Change Loy, Xiaogang Wang, Xiaoou Tang
In the proposed new deep architecture, a new deformation constrained pooling (def-pooling) layer models the deformation of object parts with geometric constraint and penalty.
no code implementations • ECCV 2018 • Yantao Shen, Hongsheng Li, Shuai Yi, Dapeng Chen, Xiaogang Wang
However, existing person re-identification models mostly estimate the similarities of different image pairs of probe and gallery images independently while ignores the relationship information between different probe-gallery pairs.
Ranked #2 on Person Re-Identification on CUHK03
no code implementations • 1 Aug 2018 • Xinge Zhu, Zhichao Yin, Jianping Shi, Hongsheng Li, Dahua Lin
Due to the large gap and severe deformation between the frontal view and bird view, generating a bird view image from a single frontal view is challenging.
no code implementations • ECCV 2018 • Dapeng Chen, Hongsheng Li, Xihui Liu, Yantao Shen, Zejian yuan, Xiaogang Wang
Person re-identification is an important task that requires learning discriminative visual features for distinguishing different person identities.
Ranked #22 on Text based Person Retrieval on CUHK-PEDES
no code implementations • ECCV 2018 • Peng Gao, Pan Lu, Hongsheng Li, Shuang Li, Yikang Li, Steven Hoi, Xiaogang Wang
Most state-of-the-art VQA methods fuse the high-level textual and visual features from the neural network and abandon the visual spatial information when learning multi-modal features. To address these problems, question-guided kernels generated from the input question are designed to convolute with visual features for capturing the textual and visual relationship in the early stage.
Ranked #14 on Visual Question Answering (VQA) on CLEVR
no code implementations • 27 Aug 2018 • Zixuan Huang, Junming Fan, Shenggan Cheng, Shuai Yi, Xiaogang Wang, Hongsheng Li
Dense depth cues are important and have wide applications in various computer vision tasks.
Ranked #10 on Depth Completion on KITTI Depth Completion
no code implementations • 13 Dec 2018 • Gao Peng, Zhengkai Jiang, Haoxuan You, Pan Lu, Steven Hoi, Xiaogang Wang, Hongsheng Li
It can robustly capture the high-level interactions between language and vision domains, thus significantly improves the performance of visual question answering.
no code implementations • CVPR 2018 • Dapeng Chen, Hongsheng Li, Tong Xiao, Shuai Yi, Xiaogang Wang
The attention weights are obtained based on a query feature, which is learned from the whole probe snippet by an LSTM network, making the resulting embeddings less affected by noisy frames.
Ranked #4 on Person Re-Identification on PRID2011
no code implementations • CVPR 2018 • Maoqing Tian, Shuai Yi, Hongsheng Li, Shihua Li, Xuesen Zhang, Jianping Shi, Junjie Yan, Xiaogang Wang
State-of-the-art methods mainly utilize deep learning based approaches for learning visual features for describing person appearances.
no code implementations • CVPR 2018 • Dapeng Chen, Dan Xu, Hongsheng Li, Nicu Sebe, Xiaogang Wang
Extensive experiments demonstrate the effectiveness of our model that combines DNN and CRF for learning robust multi-scale local similarities.
no code implementations • 3 Jan 2019 • Kui Xu, Zhe Wang, Jiangping Shi, Hongsheng Li, Qiangfeng Cliff Zhang
Constructing of molecular structural models from Cryo-Electron Microscopy (Cryo-EM) density volumes is the critical last step of structure determination by Cryo-EM technologies.
no code implementations • CVPR 2014 • Chen Chen, Junzhou Huang, Lei He, Hongsheng Li
In this paper, we propose a novel algorithm for structured sparsity reconstruction.
no code implementations • CVPR 2015 • Cong Zhang, Hongsheng Li, Xiaogang Wang, Xiaokang Yang
To address this problem, we propose a deep convolutional neural network (CNN) for crowd counting, and it is trained alternatively with two related learning objectives, crowd density and crowd count.
Ranked #15 on Crowd Counting on WorldExpo’10
no code implementations • CVPR 2015 • Rui Zhao, Wanli Ouyang, Hongsheng Li, Xiaogang Wang
Low-level saliency cues or priors do not produce good enough saliency detection results especially when the salient object presents in a low-contrast background with confusing visual appearance.
no code implementations • CVPR 2015 • Shuai Yi, Hongsheng Li, Xiaogang Wang
Pedestrian behavior modeling and analysis is important for crowd scene understanding and has various applications in video surveillance.
no code implementations • CVPR 2016 • Wei Yang, Wanli Ouyang, Hongsheng Li, Xiaogang Wang
In this paper, we propose a novel end-to-end framework for human pose estimation that combines DCNNs with the expressive deformable mixture of parts.
no code implementations • ICCV 2015 • Shuai Yi, Hongsheng Li, Xiaogang Wang
In this paper, we target on the problem of estimating the statistic of pedestrian travel time within a period from an entrance to a destination in a crowded scene.
no code implementations • ICCV 2017 • Zhongdao Wang, Luming Tang, Xihui Liu, Zhuliang Yao, Shuai Yi, Jing Shao, Junjie Yan, Shengjin Wang, Hongsheng Li, Xiaogang Wang
In our vehicle ReID framework, an orientation invariant feature embedding module and a spatial-temporal regularization module are proposed.
no code implementations • CVPR 2019 • Xihui Liu, ZiHao Wang, Jing Shao, Xiaogang Wang, Hongsheng Li
Referring expression grounding aims at locating certain objects or persons in an image with a referring expression, where the key challenge is to comprehend and align various types of information from visual and textual domain, such as visual attributes, location and interactions with surrounding regions.
no code implementations • CVPR 2019 • Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li
Flow-based generative models show great potential in image synthesis due to its reversible pipeline and exact log-likelihood target, yet it suffers from weak ability for conditional image synthesis, especially for multi-label or unaware conditions.
no code implementations • CVPR 2019 • Xiao Zhang, Rui Zhao, Junjie Yan, Mengya Gao, Yu Qiao, Xiaogang Wang, Hongsheng Li
Cosine-based softmax losses significantly improve the performance of deep face recognition networks.
no code implementations • 28 Jul 2019 • Yunhe Gao, Rui Huang, Ming Chen, Zhe Wang, Jincheng Deng, YuanYuan Chen, Yiwei Yang, Jie Zhang, Chanjuan Tao, Hongsheng Li
In this paper, we propose an end-to-end deep neural network for solving the problem of imbalanced large and small organ segmentation in head and neck (HaN) CT images.
no code implementations • ICCV 2019 • Jiageng Mao, Xiaogang Wang, Hongsheng Li
Our InterpConv is shown to be permutation and sparsity invariant, and can directly handle irregular inputs.
Ranked #27 on 3D Part Segmentation on ShapeNet-Part
no code implementations • ICCV 2019 • Peng Gao, Haoxuan You, Zhanpeng Zhang, Xiaogang Wang, Hongsheng Li
The proposed module learns the cross-modality relationships between latent visual and language summarizations, which summarize visual regions and question into a small number of latent representations to avoid modeling uninformative individual region-word relations.
no code implementations • ICCV 2019 • Yan Xu, Xinge Zhu, Jianping Shi, Guofeng Zhang, Hujun Bao, Hongsheng Li
Most of existing methods directly train a network to learn a mapping from sparse depth inputs to dense depth maps, which has difficulties in utilizing the 3D geometric constraints and handling the practical sensor noises.
no code implementations • 5 Feb 2020 • Yingjie Cai, Buyu Li, Zeyu Jiao, Hongsheng Li, Xingyu Zeng, Xiaogang Wang
Monocular 3D object detection task aims to predict the 3D bounding boxes of objects based on monocular RGB images.
no code implementations • ECCV 2020 • Jianbo Liu, Junjun He, Jimmy S. Ren, Yu Qiao, Hongsheng Li
Long-range contextual information is essential for achieving high-performance semantic segmentation.
no code implementations • CVPR 2020 • Rui Liu, Chengxi Yang, Wenxiu Sun, Xiaogang Wang, Hongsheng Li
Large-scale synthetic datasets are beneficial to stereo matching but usually introduce known domain bias.
no code implementations • 8 Jul 2020 • Shijie Geng, Peng Gao, Moitreya Chatterjee, Chiori Hori, Jonathan Le Roux, Yongfeng Zhang, Hongsheng Li, Anoop Cherian
Given an input video, its associated audio, and a brief caption, the audio-visual scene aware dialog (AVSD) task requires an agent to indulge in a question-answer dialog with a human about the audio-visual content.
no code implementations • 20 Jul 2020 • Haisheng Su, Jinyuan Feng, Hao Shao, Zhenyu Jiang, Manyuan Zhang, Wei Wu, Yu Liu, Hongsheng Li, Junjie Yan
Specifically, in order to generate high-quality proposals, we consider several factors including the video feature encoder, the proposal generator, the proposal-proposal relations, the scale imbalance, and ensemble strategy.
no code implementations • 17 Aug 2020 • Rui Huang, Yuanjie Zheng, Zhiqiang Hu, Shaoting Zhang, Hongsheng Li
In most scenarios, one might obtain annotations of a single or a few organs from one training set, and obtain annotations of the the other organs from another set of training images.
no code implementations • ECCV 2020 • Jianbo Liu, Junjun He, Jiawei Zhang, Jimmy S. Ren, Hongsheng Li
State-of-the-art semantic segmentation algorithms are mostly based on dilated Fully Convolutional Networks (dilatedFCN), which adopt dilated convolutions in the backbone networks to extract high-resolution feature maps for achieving high-performance segmentation performance.
no code implementations • 1 Jan 2021 • Hao Shao, Yu Liu, Hongsheng Li
Inspired by spatial-based contrastive SSL, we show that significant improvement can be achieved by a proposed temporal-based contrastive learning approach, which includes three novel and efficient modules: temporal augmentations, temporal memory bank and SSTL loss.
no code implementations • 19 Oct 2020 • Yan Xu, Zhaoyang Huang, Kwan-Yee Lin, Xinge Zhu, Jianping Shi, Hujun Bao, Guofeng Zhang, Hongsheng Li
To suit our network to self-supervised learning, we design several novel loss functions that utilize the inherent properties of LiDAR point clouds.
no code implementations • 18 Dec 2020 • Jianbo Liu, Sijie Ren, Yuanjie Zheng, Xiaogang Wang, Hongsheng Li
With the proposed holistically-guided decoder, we implement the EfficientFCN architecture for semantic segmentation and HGD-FPN for object detection and instance segmentation.
no code implementations • 23 Dec 2020 • Daisheng Jin, Xiao Ma, Chongzhi Zhang, Yizhuo Zhou, Jiashu Tao, Mingyuan Zhang, Haiyu Zhao, Shuai Yi, Zhoujun Li, Xianglong Liu, Hongsheng Li
We observe that during training, the relationship proposal distribution is highly imbalanced: most of the negative relationship proposals are easy to identify, e. g., the inaccurate object detection, which leads to the under-fitting of low-frequency difficult proposals.
no code implementations • 15 Dec 2020 • Jiawei Ren, Cunjun Yu, Zhongang Cai, Mingyuan Zhang, Chongsong Chen, Haiyu Zhao, Shuai Yi, Hongsheng Li
Panoptic segmentation aims at generating pixel-wise class and instance predictions for each pixel in the input image, which is a challenging task and far more complicated than naively fusing the semantic and instance segmentation results.
Ranked #11 on Panoptic Segmentation on COCO test-dev
no code implementations • CVPR 2022 • Hao Li, Tianwen Fu, Jifeng Dai, Hongsheng Li, Gao Huang, Xizhou Zhu
However, the automatic design of loss functions for generic tasks with various evaluation metrics remains under-investigated.
no code implementations • 31 Mar 2021 • Jiangfan Han, Mengya Gao, Yujie Wang, Quanquan Li, Hongsheng Li, Xiaogang Wang
To solve this problem, in this paper, we propose a novel student-dependent distillation method, knowledge consistent distillation, which makes teacher's knowledge more consistent with the student and provides the best suitable knowledge to different student networks for distillation.
no code implementations • 7 Apr 2021 • Zhaoyang Huang, Xiaokun Pan, Runsen Xu, Yan Xu, Ka Chun Cheung, Guofeng Zhang, Hongsheng Li
However, local image contents are inevitably ambiguous and error-prone during the cross-image feature matching process, which hinders downstream tasks.
no code implementations • 27 Apr 2021 • Yixiao Ge, Xiao Zhang, Ching Lam Choi, Ka Chun Cheung, Peipei Zhao, Feng Zhu, Xiaogang Wang, Rui Zhao, Hongsheng Li
In this way, our BAKE framework achieves online knowledge ensembling across multiple samples with only a single network.
no code implementations • CVPR 2021 • Jingtan Piao, Keqiang Sun, KwanYee Lin, Quan Wang, Hongsheng Li
Since the GAR learns to model the complicated real-world image, instead of relying on the simplified graphics rules, it is capable of producing realistic images, which essentially inhibits the domain-shift noise in training and optimization.
no code implementations • 25 May 2021 • Jihao Liu, Ming Zhang, Yangting Sun, Boxiao Liu, Guanglu Song, Yu Liu, Hongsheng Li
Further, an architecture knowledge pool together with a block similarity function is proposed to utilize parameter knowledge and reduces the searching time by 2 times.
no code implementations • 4 Jun 2021 • Peng Gao, Shijie Geng, Yu Qiao, Xiaogang Wang, Jifeng Dai, Hongsheng Li
In this paper, we propose a novel Scalable Transformers, which naturally contains sub-Transformers of different scales and have shared parameters.
no code implementations • 15 Aug 2021 • Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi
These specific designs enable the detector to be trained on meticulously refined pseudo labeled target data with denoised training signals, and thus effectively facilitate adapting an object detector to a target domain without requiring annotations.
no code implementations • 17 Aug 2021 • Lin Zhao, Hui Zhou, Xinge Zhu, Xiao Song, Hongsheng Li, Wenbing Tao
However, two major issues of the fusion between camera and LiDAR hinder its performance, \ie, how to effectively fuse these two modalities and how to precisely align them (suffering from the weak spatiotemporal synchronization problem).
no code implementations • 19 Aug 2021 • Ning Wang, Guangming Zhu, Liang Zhang, Peiyi Shen, Hongsheng Li, Cong Hua
With the effective spatio-temporal relationship modeling, it is possible not only to uncover contextual information in each frame but also to directly capture inter-time dependencies.
no code implementations • 8 Oct 2021 • Jihao Liu, Hongsheng Li, Guanglu Song, Xin Huang, Yu Liu
Recently, transformer and multi-layer perceptron (MLP) architectures have achieved impressive results on various vision tasks.
Ranked #239 on Image Classification on ImageNet
no code implementations • 11 Jan 2022 • Zipeng Qin, Jianbo Liu, Xiaolin Zhang, Maoqing Tian, Aojun Zhou, Shuai Yi, Hongsheng Li
The recently proposed MaskFormer gives a refreshed perspective on the task of semantic segmentation: it shifts from the popular pixel-level classification paradigm to a mask-level classification method.
no code implementations • 9 Feb 2022 • Kexue Fu, Peng Gao, Renrui Zhang, Hongsheng Li, Yu Qiao, Manning Wang
Especially, we develop a variant of ViT for 3D point cloud feature extraction, which also achieves comparable results with existing backbones when combined with our framework, and visualization of the attention maps show that our model does understand the point cloud by combining the global shape information and multiple local structural information, which is consistent with the inspiration of our representation learning method.
no code implementations • 16 Feb 2022 • Jihao Liu, Boxiao Liu, Hongsheng Li, Yu Liu
Recent studies pointed out that knowledge distillation (KD) suffers from two degradation problems, the teacher-student gap and the incompatibility with strong data augmentations, making it not applicable to training state-of-the-art models, which are trained with advanced augmentations.
Ranked #135 on Image Classification on ImageNet
no code implementations • CVPR 2022 • Yingjie Cai, Kwan-Yee Lin, Chao Zhang, Qiang Wang, Xiaogang Wang, Hongsheng Li
Specifically, we map a series of related partial point clouds into multiple complete shape and occlusion code pairs and fuse the codes to obtain their representations in the unified latent space.
no code implementations • 10 May 2022 • Dasong Li, Yi Zhang, Ka Lung Law, Xiaogang Wang, Hongwei Qin, Hongsheng Li
As for each sub-network, we propose an efficient multi-frequency denoising network to remove noise of different frequencies.
no code implementations • 7 Jun 2022 • Hongsheng Li, Guangming Zhu, Wu Zhen, Lan Ni, Peiyi Shen, Liang Zhang, Ning Wang, Cong Hua
However, there is still room for improvement in video HOI detection performance.
no code implementations • 16 Jun 2022 • Keqiang Sun, Shangzhe Wu, Zhaoyang Huang, Ning Zhang, Quan Wang, Hongsheng Li
Capitalizing on the recent advances in image generation models, existing controllable face image synthesis methods are able to generate high-fidelity images with some levels of controllability, e. g., controlling the shapes, expressions, textures, and poses of the generated face images.
no code implementations • 29 Aug 2022 • Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li
To eliminate the bias of single-aspect research and provide an overall understanding of the face recognition model design, we first carefully design the search space for each aspect, then a comprehensive search method is introduced to jointly search optimal data cleaning, architecture, and loss function design.
no code implementations • 19 Sep 2022 • Zhaoyang Huang, Xiaokun Pan, Weihong Pan, Weikang Bian, Yan Xu, Ka Chun Cheung, Guofeng Zhang, Hongsheng Li
We tackle the problem of estimating correspondences from a general marker, such as a movie poster, to an image that captures such a marker.
no code implementations • 19 Sep 2022 • Zhe Wang, Hongsheng Li, Qinwei Zhang, Jing Yuan, Xiaogang Wang
Adaptively learning a distance metric from the undersampled training data can significantly improve the matching accuracy of the query fingerprints.
no code implementations • 25 Sep 2022 • Renrui Zhang, Bohao Li, Wei zhang, Hao Dong, Hongsheng Li, Peng Gao, Yu Qiao
In this paper, we propose CoMo, a Collaboration of pre-trained Models that incorporates diverse prior knowledge from various pre-training paradigms for better few-shot learning.
no code implementations • 23 Nov 2022 • Keqiang Sun, Shangzhe Wu, Ning Zhang, Zhaoyang Huang, Quan Wang, Hongsheng Li
Capitalizing on the recent advances in image generation models, existing controllable face image synthesis methods are able to generate high-fidelity images with some levels of controllability, e. g., controlling the shapes, expressions, textures, and poses of the generated face images.
no code implementations • CVPR 2023 • Junjie Ni, Yijin Li, Zhaoyang Huang, Hongsheng Li, Hujun Bao, Zhaopeng Cui, Guofeng Zhang
However, estimating scale differences between these patches is non-trivial since the scale differences are determined by both relative camera poses and scene structures, and thus spatially varying over image pairs.
no code implementations • 14 Mar 2023 • Yijin Li, Zhaoyang Huang, Shuo Chen, Xiaoyu Shi, Hongsheng Li, Hujun Bao, Zhaopeng Cui, Guofeng Zhang
BlinkSim consists of a configurable rendering engine and a flexible engine for event data simulation.
no code implementations • 19 Apr 2023 • Xiaoliang Ju, Yiyang Sun, Yiming Hao, Yikang Li, Yu Qiao, Hongsheng Li
We propose a perception imitation method to simulate results of a certain perception model, and discuss a new heuristic route of autonomous driving simulator without data synthesis.
no code implementations • 7 May 2023 • Xiaoyu Yang, Lijian Xu, Simon Yu, Qing Xia, Hongsheng Li, Shaoting Zhang
3) A dataset named CCA-200 is collected, consisting of 200 CCTA images with coronary artery disease.
no code implementations • CVPR 2023 • Hao Shao, Letian Wang, RuoBing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu
The large-scale deployment of autonomous vehicles is yet to come, and one of the major remaining challenges lies in urban dense traffic scenarios.
Ranked #1 on Autonomous Driving on CARLA Leaderboard
no code implementations • 30 May 2023 • Ziyu Ni, Linda Wei, Lijian Xu, Simon Yu, Qing Xia, Hongsheng Li, Shaoting Zhang
In this work, we proposed an end-to-end deep learning framework, which could predict the coronary artery hemodynamics from CCTA images.
no code implementations • 2 Jun 2023 • Zeqiang Lai, Yuchen Duan, Jifeng Dai, Ziheng Li, Ying Fu, Hongsheng Li, Yu Qiao, Wenhai Wang
In this paper, we propose to ameliorate the semantic segmentation quality of existing discriminative approaches with a mask prior modeled by a recently-developed denoising diffusion generative model.
no code implementations • 3 Jun 2023 • Weikang Bian, Zhaoyang Huang, Xiaoyu Shi, Yitong Dong, Yijin Li, Hongsheng Li
We tackle the problem of Persistent Independent Particles (PIPs), also called Tracking Any Point (TAP), in videos, which specifically aims at estimating persistent long-term trajectories of query points in videos.
no code implementations • 8 Jun 2023 • Zhaoyang Huang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Yijin Li, Hongwei Qin, Jifeng Dai, Xiaogang Wang, Hongsheng Li
This paper introduces a novel transformer-based network architecture, FlowFormer, along with the Masked Cost Volume AutoEncoding (MCVA) for pretraining it to tackle the problem of optical flow estimation.
no code implementations • 15 Jun 2023 • Junting Pan, Ziyi Lin, Yuying Ge, Xiatian Zhu, Renrui Zhang, Yi Wang, Yu Qiao, Hongsheng Li
Video Question Answering (VideoQA) has been significantly advanced from the scaling of recent Large Language Models (LLMs).
Ranked #3 on Temporal/Casual QA on NExT-QA (using extra training data)
no code implementations • ICCV 2023 • Jinyu Chen, Wenguan Wang, Si Liu, Hongsheng Li, Yi Yang
CCPD transfers the fundamental, point-to-point wayfinding skill that is well trained on the large-scale PointGoal task to ORAN, so as to help ORAN to better master audio-visual navigation with far fewer training samples.
no code implementations • ICCV 2023 • Aojun Zhou, Yang Li, Zipeng Qin, Jianbo Liu, Junting Pan, Renrui Zhang, Rui Zhao, Peng Gao, Hongsheng Li
In this paper, we aim to reduce model complexity from large vision transformers pretrained by MAE with assistant of sparse training.
no code implementations • 12 Oct 2023 • Hu Yu, Li Shen, Jie Huang, Man Zhou, Hongsheng Li, Feng Zhao
Diffusion models have demonstrated compelling generation quality by optimizing the variational lower bound through a simple denoising score matching loss.
no code implementations • ICCV 2023 • Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li
We observe that different regions of interest in the visual feature map are suitable for performing query classification and box localization tasks, even for the same object.
no code implementations • 25 Oct 2023 • Manyuan Zhang, Bingqi Ma, Guanglu Song, Yunxiao Wang, Hongsheng Li, Yu Liu
During the COVID-19 coronavirus epidemic, almost everyone is wearing masks, which poses a huge challenge for deep learning-based face recognition algorithms.
no code implementations • 14 Dec 2023 • Hao Li, Xue Yang, Zhaokai Wang, Xizhou Zhu, Jie zhou, Yu Qiao, Xiaogang Wang, Hongsheng Li, Lewei Lu, Jifeng Dai
Many reinforcement learning environments (e. g., Minecraft) provide only sparse rewards that indicate task completion or failure with binary values.
no code implementations • 21 Dec 2023 • Keqiang Sun, Dor Litvak, Yunzhi Zhang, Hongsheng Li, Jiajun Wu, Shangzhe Wu
We introduce Ponymation, a new method for learning a generative model of articulated 3D animal motions from raw, unlabeled online videos.
no code implementations • 10 Jan 2024 • Zhanliang He, Nuoye Xiong, Hongsheng Li, Peiyi Shen, Guangming Zhu, Liang Zhang
Through experimental validation, based on this interaction interface, NN can provide humans with easily understandable explanations of the reasoning process.
no code implementations • 13 Jan 2024 • Jingqiu Zhou, Aojun Zhou, Hongsheng Li
Moreover, we studied the robustness of OOD methods by applying different types of image encoders.
Out-of-Distribution Detection Out of Distribution (OOD) Detection
no code implementations • 29 Jan 2024 • Xiaoyu Shi, Zhaoyang Huang, Fu-Yun Wang, Weikang Bian, Dasong Li, Yi Zhang, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li
For the first stage, we propose a diffusion-based motion field predictor, which focuses on deducing the trajectories of the reference image's pixels.
no code implementations • 22 Feb 2024 • Ke Wang, Junting Pan, Weikang Shi, Zimu Lu, Mingjie Zhan, Hongsheng Li
Recent advancements in Large Multimodal Models (LMMs) have shown promising results in mathematical reasoning within visual contexts, with models approaching human-level performance on existing benchmarks such as MathVista.
Ranked #1 on Multimodal Reasoning on MATH-V (using extra training data)
no code implementations • 26 Feb 2024 • Zimu Lu, Aojun Zhou, Houxing Ren, Ke Wang, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li
We augment the ground-truth solutions of our seed data and train a back-translation model to translate the augmented solutions back into new questions.
no code implementations • 21 Mar 2024 • Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Peng Gao, Hongsheng Li
To this end, we introduce MathVerse, an all-around visual math benchmark designed for an equitable and in-depth evaluation of MLLMs.
no code implementations • 27 Mar 2024 • Sicheng Li, Keqiang Sun, Zhixin Lai, Xiaoshi Wu, Feng Qiu, Haoran Xie, Kazunori Miyata, Hongsheng Li
Secondly, to overcome the issue of limited conditional supervision, we introduce Diffusion Consistency Loss (DCL), which applies supervision on the denoised latent code at any given time step.
no code implementations • 10 Apr 2024 • Fan Lu, Kwan-Yee Lin, Yan Xu, Hongsheng Li, Guang Chen, Changjun Jiang
(2) To handle the unbounded nature of urban scenes, we represent 3D scene with a Scalable Hash Grid structure, incrementally adapting to the growing scale of urban scenes.
no code implementations • 11 Apr 2024 • Jihao Liu, Jinliang Zheng, Yu Liu, Hongsheng Li
This paper proposes a GeneraLIst encoder-Decoder (GLID) pre-training method for better handling various downstream computer vision tasks.
1 code implementation • 8 Jan 2024 • Huanyu Liu, JianFeng Cai, Tingjia Zhang, Hongsheng Li, Siyuan Wang, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Liang Zhang
Automated conversion methods are essential to overcome manual conversion challenges.
1 code implementation • 1 Jun 2023 • Xiaoliang Ju, Zhaoyang Huang, Yijin Li, Guofeng Zhang, Yu Qiao, Hongsheng Li
In addition to the scene generation, the final part of DiffInDScene can be used as a post-processing module to refine the 3D reconstruction results from multi-view stereo.
1 code implementation • 21 Nov 2023 • Xiaoyu Yang, Lijian Xu, Hao Sun, Hongsheng Li, Shaoting Zhang
Furthermore, we contribute a VG dataset, especially with multi-tasks.
1 code implementation • 25 Feb 2020 • Yushi Lan, Yu-An Liu, Maoqing Tian, Xinchi Zhou, Xuesen Zhang, Shuai Yi, Hongsheng Li
Meanwhile, we introduce "Semantic Fusion Branch" to filter out irrelevant noises by selectively fusing semantic region information sequentially.
1 code implementation • 8 Jun 2023 • Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu
In each denoising step, our method first decodes pixels from previous VQ tokens, then generates new VQ tokens from the decoded pixels.
1 code implementation • 9 Jul 2019 • Jiahui Li, Shuang Yang, Xiaodi Huang, Qian Da, Xiaoqun Yang, Zhiqiang Hu, Qi Duan, Chaofu Wang, Hongsheng Li
Our framework achieves accurate signet ring cell detection and can be readily applied in the clinical trails.
1 code implementation • 30 Nov 2023 • Rongyao Fang, Shilin Yan, Zhaoyang Huang, Jingqiu Zhou, Hao Tian, Jifeng Dai, Hongsheng Li
In this work, we introduce InstructSeq, an instruction-conditioned multi-modal modeling framework that unifies diverse vision tasks through flexible natural language control and handling of both visual and textual data.
1 code implementation • 4 Mar 2019 • Mingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You Song
Unsupervised cross-spectral stereo matching aims at recovering disparity given cross-spectral image pairs without any supervision in the form of ground truth disparity or depth.
1 code implementation • CVPR 2023 • Chen Gao, Xingyu Peng, Mi Yan, He Wang, Lirong Yang, Haibing Ren, Hongsheng Li, Si Liu
In this paper, we propose an Adaptive Zone-aware Hierarchical Planner (AZHP) to explicitly divides the navigation process into two heterogeneous phases, i. e., sub-goal setting via zone partition/selection (high-level action) and sub-goal executing (low-level action), for hierarchical planning.
1 code implementation • CVPR 2021 • Yingjie Cai, Xuesong Chen, Chao Zhang, Kwan-Yee Lin, Xiaogang Wang, Hongsheng Li
The key insight is that we decouple the instances from a coarsely completed semantic scene instead of a raw input image to guide the reconstruction of instances and the overall scene.
Ranked #1 on 3D Semantic Scene Completion on NYUv2
1 code implementation • CVPR 2021 • Xiao Zhang, Yixiao Ge, Yu Qiao, Hongsheng Li
Unsupervised object re-identification targets at learning discriminative representations for object retrieval without any annotations.
1 code implementation • 2 Jul 2021 • Jiahui Li, Wen Chen, Xiaodi Huang, Zhiqiang Hu, Qi Duan, Hongsheng Li, Dimitris N. Metaxas, Shaoting Zhang
To handle this problem, we propose a hybrid supervision learning framework for this kind of high resolution images with sufficient image-level coarse annotations and a few pixel-level fine labels.
1 code implementation • ICCV 2021 • Chen Zhao, Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann
Correspondence selection aims to correctly select the consistent matches (inliers) from an initial set of putative correspondences.
1 code implementation • NeurIPS 2021 • Wei Sun, Aojun Zhou, Sander Stuijk, Rob Wijnhoven, Andrew Oakleigh Nelson, Hongsheng Li, Henk Corporaal
However, the existing N:M algorithms only address the challenge of how to train N:M sparse neural networks in a uniform fashion (i. e. every layer has the same N:M sparsity) and suffer from a significant accuracy drop for high sparsity (i. e. when sparsity > 80\%).
1 code implementation • 7 Jul 2021 • Xiaohan Xing, Yuenan Hou, Hang Li, Yixuan Yuan, Hongsheng Li, Max Q. -H. Meng
With the contribution of the CCD and CRP, our CRCKD algorithm can distill the relational knowledge more comprehensively.
1 code implementation • 2 Nov 2023 • Lijian Xu, Ziyu Ni, Xinglong Liu, Xiaosong Wang, Hongsheng Li, Shaoting Zhang
We first compose a multi-task training dataset comprising 13. 4 million instruction and ground-truth pairs (with approximately one million radiographs) for the customized tuning, involving both image- and pixel-level tasks.
1 code implementation • CVPR 2023 • Jingqiu Zhou, Linjiang Huang, Liang Wang, Si Liu, Hongsheng Li
Besides, the generated pseudo-labels can be fluctuating and inaccurate at the early stage of training.
Pseudo Label Weakly-supervised Temporal Action Localization +1
1 code implementation • 2 Mar 2023 • Rongyao Fang, Peng Gao, Aojun Zhou, Yingjie Cai, Si Liu, Jifeng Dai, Hongsheng Li
The first method is One-to-many Matching via Data Augmentation (denoted as DataAug-DETR).
1 code implementation • 5 Apr 2021 • Yunhe Gao, Rui Huang, Yiwei Yang, Jie Zhang, Kainan Shao, Changjuan Tao, YuanYuan Chen, Dimitris N. Metaxas, Hongsheng Li, Ming Chen
Radiotherapy is a treatment where radiation is used to eliminate cancer cells.
1 code implementation • 22 Nov 2022 • Linjiang Huang, Kaixin Lu, Guanglu Song, Liang Wang, Si Liu, Yu Liu, Hongsheng Li
In this paper, we present a novel training scheme, namely Teach-DETR, to learn better DETR-based detectors from versatile teacher detectors.
1 code implementation • 30 Jan 2020 • Liang Zhang, Xudong Wang, Hongsheng Li, Guangming Zhu, Peiyi Shen, Ping Li, Xiaoyuan Lu, Syed Afaq Ali Shah, Mohammed Bennamoun
To solve these problems mentioned above, we propose a novel graph self-adaptive pooling method with the following objectives: (1) to construct a reasonable pooled graph topology, structure and feature information of the graph are considered simultaneously, which provide additional veracity and objectivity in node selection; and (2) to make the pooled nodes contain sufficiently effective graph information, node feature information is aggregated before discarding the unimportant nodes; thus, the selected nodes contain information from neighbor nodes, which can enhance the use of features of the unselected nodes.
1 code implementation • ICCV 2021 • Linjiang Huang, Liang Wang, Hongsheng Li
In this paper, we present a framework named FAC-Net based on the I3D backbone, on which three branches are appended, named class-wise foreground classification branch, class-agnostic attention branch and multiple instance learning branch.
1 code implementation • ICCV 2023 • Jiawei Yao, Chuming Li, Keqiang Sun, Yingjie Cai, Hao Li, Wanli Ouyang, Hongsheng Li
Monocular 3D Semantic Scene Completion (SSC) has garnered significant attention in recent years due to its potential to predict complex semantics and geometry shapes from a single image, requiring no 3D inputs.
3D Semantic Scene Completion from a single 2D image 3D Semantic Scene Completion from a single RGB image
1 code implementation • 20 Mar 2024 • Fu-Yun Wang, Xiaoshi Wu, Zhaoyang Huang, Xiaoyu Shi, Dazhong Shen, Guanglu Song, Yu Liu, Hongsheng Li
We introduce MOTIA Mastering Video Outpainting Through Input-Specific Adaptation, a diffusion-based pipeline that leverages both the intrinsic data-specific patterns of the source video and the image/video generative prior for effective outpainting.
1 code implementation • ECCV 2020 • Xiao Zhang, Rui Zhao, Yu Qiao, Hongsheng Li
To address this problem, this paper introduces a novel Radial Basis Function (RBF) distances to replace the commonly used inner products in the softmax loss function, such that it can adaptively assign losses to regularize the intra-class and inter-class distances by reshaping the relative differences, and thus creating more representative prototypes of classes to improve optimization.
1 code implementation • 29 Mar 2024 • Weifeng Lin, Xinyu Wei, Ruichuan An, Peng Gao, Bocheng Zou, Yulin Luo, Siyuan Huang, Shanghang Zhang, Hongsheng Li
In this paper, we introduce the Draw-and-Understand project: a new model, a multi-domain dataset, and a challenging benchmark for visual prompting.
1 code implementation • CVPR 2022 • Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, LiWei Wang
In order to learn better representations of object shape to enhance cluster features for predicting 3D boxes, we propose a ray-based feature grouping module, which aggregates the point-wise features on object surfaces using a group of determined rays uniformly emitted from cluster centers.
Ranked #13 on 3D Object Detection on ScanNetV2
1 code implementation • ICCV 2023 • Jihao Liu, Tai Wang, Boxiao Liu, Qihang Zhang, Yu Liu, Hongsheng Li
In this paper, we propose Geometry Enhanced Masked Image Modeling (GeoMIM) to transfer the knowledge of the LiDAR model in a pretrain-finetune paradigm for improving the multi-view camera-based 3D detection.
1 code implementation • 18 Mar 2024 • Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu
Context information, such as road maps and surrounding agents' states, provides crucial geometric and semantic information for motion behavior prediction.
1 code implementation • 18 Nov 2017 • Pan Lu, Hongsheng Li, Wei zhang, Jianyong Wang, Xiaogang Wang
Existing VQA methods mainly adopt the visual attention mechanism to associate the input question with corresponding image regions for effective question answering.
1 code implementation • 27 Feb 2022 • Yan Xu, Junyi Lin, Jianping Shi, Guofeng Zhang, Xiaogang Wang, Hongsheng Li
The correct ego-motion estimation basically relies on the understanding of correspondences between adjacent LiDAR scans.
1 code implementation • 25 Mar 2024 • Hao Shao, Shengju Qian, Han Xiao, Guanglu Song, Zhuofan Zong, Letian Wang, Yu Liu, Hongsheng Li
This paper presents Visual CoT, a novel pipeline that leverages the reasoning capabilities of multi-modal large language models (MLLMs) by incorporating visual Chain-of-Thought (CoT) reasoning.
1 code implementation • CVPR 2022 • Linjiang Huang, Liang Wang, Hongsheng Li
Our method seeks to mine the representative snippets in each video for propagating information between video snippets to generate better pseudo labels.
Pseudo Label Weakly-supervised Temporal Action Localization +1
1 code implementation • ICCV 2021 • Zhipeng Luo, Zhongang Cai, Changqing Zhou, Gongjie Zhang, Haiyu Zhao, Shuai Yi, Shijian Lu, Hongsheng Li, Shanghang Zhang, Ziwei Liu
In addition, existing 3D domain adaptive detection methods often assume prior access to the target domain annotations, which is rarely feasible in the real world.
1 code implementation • 22 Feb 2024 • Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li
Specifically, we propose, for the first time to our best knowledge, post-training approaches for task-agnostic and task-specific expert pruning and skipping of MoE LLMs, tailored to improve deployment efficiency while maintaining model performance across a wide range of tasks.
4 code implementations • 2 Jun 2021 • Peng Gao, Jiasen Lu, Hongsheng Li, Roozbeh Mottaghi, Aniruddha Kembhavi
Convolutional neural networks (CNNs) are ubiquitous in computer vision, with a myriad of effective and efficient variations.
Ranked #465 on Image Classification on ImageNet
2 code implementations • NeurIPS 2021 • Peng Gao, Jiasen Lu, Hongsheng Li, Roozbeh Mottaghi, Aniruddha Kembhavi
Convolutional neural networks (CNNs) are ubiquitous in computer vision, with a myriad of effective and efficient variations.
1 code implementation • 29 Nov 2021 • Teli Ma, Shijie Geng, Mengmeng Wang, Jing Shao, Jiasen Lu, Hongsheng Li, Peng Gao, Yu Qiao
Recent advances in large-scale contrastive visual-language pretraining shed light on a new pathway for visual recognition.
Ranked #4 on Long-tail Learning on Places-LT (using extra training data)
1 code implementation • ECCV 2020 • Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li
We propose a novel algorithm, named Open-Edit, which is the first attempt on open-domain image manipulation with open-vocabulary instructions.
1 code implementation • 10 Aug 2022 • Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, Hongsheng Li
With the integration, MSDI-Net can handle various and complicated blurry patterns adaptively.
Ranked #14 on Image Deblurring on GoPro
4 code implementations • 14 Mar 2020 • Yixiao Ge, Feng Zhu, Dapeng Chen, Rui Zhao, Xiaogang Wang, Hongsheng Li
To tackle the challenges, we propose an end-to-end structured domain adaptation framework with an online relation-consistency regularization term.
Ranked #4 on Unsupervised Domain Adaptation on Market to MSMT
2 code implementations • CVPR 2020 • Xiaokang Chen, Kwan-Yee Lin, Chen Qian, Gang Zeng, Hongsheng Li
To this end, we first propose a novel 3D sketch-aware feature embedding to explicitly encode geometric information effectively and efficiently.
3D Semantic Scene Completion from a single RGB image Hallucination
1 code implementation • 14 Apr 2021 • Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li
Seamless combination of these two novel designs forms a better spatial-temporal attention scheme and our proposed model achieves better performance than state-of-the-art video inpainting approaches with significant boosted efficiency.
1 code implementation • 27 Jun 2022 • Junting Pan, Ziyi Lin, Xiatian Zhu, Jing Shao, Hongsheng Li
This has led to a new research direction in parameter-efficient transfer learning.
Ranked #23 on Action Recognition on Something-Something V2 (using extra training data)
1 code implementation • 19 Apr 2024 • Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, Yu Liu
Although some large-scale pretrained vision encoders such as vision encoders in CLIP and DINOv2 have brought promising performance, we found that there is still no single vision encoder that can dominate various image content understanding, e. g., the CLIP vision encoder leads to outstanding results on general image understanding but poor performance on document or chart content.
1 code implementation • CVPR 2017 • Kai Kang, Hongsheng Li, Tong Xiao, Wanli Ouyang, Junjie Yan, Xihui Liu, Xiaogang Wang
Object detection in videos has drawn increasing attention recently with the introduction of the large-scale ImageNet VID dataset.
1 code implementation • CVPR 2021 • Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li
Conditional generative adversarial networks (cGANs) target at synthesizing diverse images given the input conditions and latent codes, but unfortunately, they usually suffer from the issue of mode collapse.
1 code implementation • NeurIPS 2020 • Jiawei Ren, Cunjun Yu, Shunan Sheng, Xiao Ma, Haiyu Zhao, Shuai Yi, Hongsheng Li
In our experiments, we demonstrate that Balanced Meta-Softmax outperforms state-of-the-art long-tailed classification solutions on both visual recognition and instance segmentation tasks.
Ranked #7 on Long-tail Learning on CIFAR-10-LT (ρ=10)
1 code implementation • ICCV 2023 • Fan Lu, Yan Xu, Guang Chen, Hongsheng Li, Kwan-Yee Lin, Changjun Jiang
To construct urban-level radiance fields efficiently, we design Deformable Neural Mesh Primitive~(DNMP), and propose to parameterize the entire scene with such primitives.
1 code implementation • CVPR 2021 • Zhaoyang Huang, Han Zhou, Yijin Li, Bangbang Yang, Yan Xu, Xiaowei Zhou, Hujun Bao, Guofeng Zhang, Hongsheng Li
To address this problem, we propose a novel visual localization framework that establishes 2D-to-3D correspondences between the query image and the 3D map with a series of learnable scene-specific landmarks.
1 code implementation • CVPR 2023 • Dasong Li, Xiaoyu Shi, Yi Zhang, Ka Chun Cheung, Simon See, Xiaogang Wang, Hongwei Qin, Hongsheng Li
In this study, we propose a simple yet effective framework for video restoration.
Ranked #1 on Deblurring on GoPro (using extra training data)
1 code implementation • ICCV 2021 • Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
Compared with the state-of-the-art stereo detector, our method has improved the 3D detection performance of cars, pedestrians, cyclists by 10. 44%, 5. 69%, 5. 97% mAP respectively on the official KITTI benchmark.
2 code implementations • 12 Jul 2022 • Jihao Liu, Xin Huang, Guanglu Song, Hongsheng Li, Yu Liu
Finally, we integrate configurable operators and DSMs into a unified search space and search with a Reinforcement Learning-based search algorithm to fully explore the optimal combination of the operators.
Ranked #12 on Neural Architecture Search on ImageNet
1 code implementation • 18 Jul 2022 • Jihao Liu, Boxiao Liu, Hang Zhou, Hongsheng Li, Yu Liu
In this paper, we propose a novel data augmentation technique TokenMix to improve the performance of vision transformers.
1 code implementation • 6 May 2022 • Junting Pan, Adrian Bulat, Fuwen Tan, Xiatian Zhu, Lukasz Dudziak, Hongsheng Li, Georgios Tzimiropoulos, Brais Martinez
In this work, pushing further along this under-studied direction we introduce EdgeViTs, a new family of light-weight ViTs that, for the first time, enable attention-based vision models to compete with the best light-weight CNNs in the tradeoff between accuracy and on-device efficiency.
1 code implementation • ECCV 2018 • Xiaoyang Guo, Hongsheng Li, Shuai Yi, Jimmy Ren, Xiaogang Wang
Monocular depth estimation aims at estimating a pixelwise depth map for a single image, which has wide applications in scene understanding and autonomous driving.
1 code implementation • 19 Mar 2024 • Linjiang Huang, Rongyao Fang, Aiping Zhang, Guanglu Song, Si Liu, Yu Liu, Hongsheng Li
In this study, we delve into the generation of high-resolution images from pre-trained diffusion models, addressing persistent challenges, such as repetitive patterns and structural distortions, that emerge when models are applied beyond their trained resolutions.
1 code implementation • CVPR 2023 • Xiaoyu Shi, Zhaoyang Huang, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li
FlowFormer introduces a transformer architecture into optical flow estimation and achieves state-of-the-art performance.
1 code implementation • CVPR 2023 • Benjin Zhu, Zhe Wang, Shaoshuai Shi, Hang Xu, Lanqing Hong, Hongsheng Li
We thus propose a Query Contrast mechanism to explicitly enhance queries towards their best-matched GTs over all unmatched query predictions.
1 code implementation • ICCV 2023 • Xuesong Chen, Shaoshuai Shi, Chao Zhang, Benjin Zhu, Qiang Wang, Ka Chun Cheung, Simon See, Hongsheng Li
3D multi-object tracking (MOT) is vital for many applications including autonomous driving vehicles and service robots.
1 code implementation • ICCV 2023 • Siming Fan, Jingtan Piao, Chen Qian, Kwan-Yee Lin, Hongsheng Li
In this work, we tackle the problem of real-world fluid animation from a still image.
1 code implementation • CVPR 2018 • Yantao Shen, Tong Xiao, Hongsheng Li, Shuai Yi, Xiaogang Wang
Person re-identification aims to robustly measure similarities between person images.
1 code implementation • CVPR 2018 • Yantao Shen, Hongsheng Li, Tong Xiao, Shuai Yi, Dapeng Chen, Xiaogang Wang
Person re-identification aims at finding a person of interest in an image gallery by comparing the probe image of this person with all the gallery images.
1 code implementation • ICCV 2021 • Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li
On the contrary, the soft composition operates by stitching different patches into a whole feature map where pixels in overlapping regions are summed up.
Ranked #3 on Video Inpainting on DAVIS
1 code implementation • 15 Aug 2023 • Aojun Zhou, Ke Wang, Zimu Lu, Weikang Shi, Sichun Luo, Zipeng Qin, Shaoqing Lu, Anya Jia, Linqi Song, Mingjie Zhan, Hongsheng Li
We found that its success can be largely attributed to its powerful skills in generating and executing code, evaluating the output of code execution, and rectifying its solution when receiving unreasonable outputs.
Ranked #1 on Math Word Problem Solving on MATH
1 code implementation • ICCV 2021 • Yi Zhang, Hongwei Qin, Xiaogang Wang, Hongsheng Li
However, the real raw image noise is contributed by many noise sources and varies greatly among different sensors.
Ranked #2 on Image Denoising on SID SonyA7S2 x100
1 code implementation • CVPR 2022 • Yi Zhang, Dasong Li, Ka Lung Law, Xiaogang Wang, Hongwei Qin, Hongsheng Li
To evaluate raw image denoising performance in real-world applications, we build a high-quality raw image dataset SenseNoise-500 that contains 500 real-life scenes.
1 code implementation • CVPR 2023 • Jihao Liu, Xin Huang, Jinliang Zheng, Yu Liu, Hongsheng Li
In this paper, we propose Mixed and Masked AutoEncoder (MixMAE), a simple but efficient pretraining method that is applicable to various hierarchical Vision Transformers.
Ranked #2 on Image Classification on Places205
1 code implementation • ICCV 2019 • Zihao Wang, Xihui Liu, Hongsheng Li, Lu Sheng, Junjie Yan, Xiaogang Wang, Jing Shao
Text-image cross-modal retrieval is a challenging task in the field of language and vision.
Ranked #9 on Image Retrieval on Flickr30K 1K test
1 code implementation • NeurIPS 2019 • Xihui Liu, Guojun Yin, Jing Shao, Xiaogang Wang, Hongsheng Li
Semantic image synthesis aims at generating photorealistic images from semantic layouts.
2 code implementations • 4 Apr 2024 • Dongzhi Jiang, Guanglu Song, Xiaoshi Wu, Renrui Zhang, Dazhong Shen, Zhuofan Zong, Yu Liu, Hongsheng Li
We further attribute this phenomenon to the diffusion model's insufficient condition utilization, which is caused by its training paradigm.
1 code implementation • CVPR 2022 • Yan Xu, Kwan-Yee Lin, Guofeng Zhang, Xiaogang Wang, Hongsheng Li
The correspondence field estimation and pose refinement are conducted alternatively in each iteration to recover the object poses.
Ranked #1 on 6D Pose Estimation using RGB on LineMOD
2 code implementations • CVPR 2017 • Feng Zhu, Hongsheng Li, Wanli Ouyang, Nenghai Yu, Xiaogang Wang
Analysis of the learned SRN model demonstrates that it can effectively capture both semantic and spatial relations of labels for improving classification performance.
Ranked #6 on Multi-Label Classification on NUS-WIDE
1 code implementation • CVPR 2017 • Shuang Li, Tong Xiao, Hongsheng Li, Bolei Zhou, Dayu Yue, Xiaogang Wang
Searching persons in large-scale image databases with the query of natural language description has important applications in video surveillance.
1 code implementation • 11 Apr 2019 • Luyang Wang, Yan Chen, Zhenhua Guo, Keyuan Qian, Mude Lin, Hongsheng Li, Jimmy S. Ren
We observe that recent innovation in this area mainly focuses on new techniques that explicitly address the generalization issue when using this dataset, because this database is constructed in a highly controlled environment with limited human subjects and background variations.
Ranked #64 on 3D Human Pose Estimation on Human3.6M
1 code implementation • CVPR 2023 • Xiaoshi Wu, Feng Zhu, Rui Zhao, Hongsheng Li
To overcome these obstacles, we propose CORA, a DETR-style framework that adapts CLIP for Open-vocabulary detection by Region prompting and Anchor pre-matching.
Ranked #6 on Open Vocabulary Object Detection on MSCOCO (using extra training data)
2 code implementations • 6 Aug 2022 • Ziyi Lin, Shijie Geng, Renrui Zhang, Peng Gao, Gerard de Melo, Xiaogang Wang, Jifeng Dai, Yu Qiao, Hongsheng Li
Video recognition has been dominated by the end-to-end learning paradigm -- first initializing a video recognition model with weights of a pretrained image model and then conducting end-to-end training on videos.
Ranked #26 on Action Classification on Kinetics-400 (using extra training data)
1 code implementation • 18 Jan 2024 • Changyao Tian, Xizhou Zhu, Yuwen Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Yuntao Chen, Lewei Lu, Tong Lu, Jie zhou, Hongsheng Li, Yu Qiao, Jifeng Dai
Developing generative models for interleaved image-text data has both research and practical value.
1 code implementation • 5 Oct 2023 • Ke Wang, Houxing Ren, Aojun Zhou, Zimu Lu, Sichun Luo, Weikang Shi, Renrui Zhang, Linqi Song, Mingjie Zhan, Hongsheng Li
In this paper, we present a method to fine-tune open-source language models, enabling them to use code for modeling and deriving math equations and, consequently, enhancing their mathematical reasoning abilities.
Ranked #4 on Math Word Problem Solving on SVAMP (using extra training data)
1 code implementation • 18 Nov 2020 • Minghang Zheng, Peng Gao, Renrui Zhang, Kunchang Li, Xiaogang Wang, Hongsheng Li, Hao Dong
In this paper, a novel variant of transformer named Adaptive Clustering Transformer(ACT) has been proposed to reduce the computation cost for high-resolution input.
2 code implementations • 19 Jan 2021 • Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, Hongsheng Li
The recently proposed Detection Transformer (DETR) model successfully applies Transformer to objects detection and achieves comparable performance with two-stage object detection frameworks, such as Faster-RCNN.
1 code implementation • ICCV 2021 • Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, Hongsheng Li
However, DETR suffers from its slow convergence.
1 code implementation • ICCV 2023 • Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu
The HoP approach is straightforward: given the current timestamp t, we generate a pseudo Bird's-Eye View (BEV) feature of timestamp t-k from its adjacent frames and utilize this feature to predict the object set at timestamp t-k. Our approach is motivated by the observation that enforcing the detector to capture both the spatial location and temporal motion of objects occurring at historical timestamps can lead to more accurate BEV feature learning.
Ranked #3 on 3D Object Detection on nuScenes Camera Only
1 code implementation • 25 Apr 2022 • Wei Cheng, Su Xu, Jingtan Piao, Chen Qian, Wayne Wu, Kwan-Yee Lin, Hongsheng Li
Specifically, we compress the light fields for novel view human rendering as conditional implicit neural radiance fields from both geometry and appearance aspects.
1 code implementation • 6 Mar 2023 • Yi Zhang, Dasong Li, Xiaoyu Shi, Dailan He, Kangning Song, Xiaogang Wang, Hongwei Qin, Hongsheng Li
In this paper, we propose a kernel basis attention (KBA) module, which introduces learnable kernel bases to model representative image patterns for spatial information aggregation.
Ranked #1 on Color Image Denoising on McMaster sigma50
1 code implementation • 8 Oct 2016 • Xingyu Zeng, Wanli Ouyang, Junjie Yan, Hongsheng Li, Tong Xiao, Kun Wang, Yu Liu, Yucong Zhou, Bin Yang, Zhe Wang, Hui Zhou, Xiaogang Wang
The effectiveness of GBD-Net is shown through experiments on three object detection datasets, ImageNet, Pascal VOC2007 and Microsoft COCO.
1 code implementation • CVPR 2016 • Kai Kang, Wanli Ouyang, Hongsheng Li, Xiaogang Wang
Deep Convolution Neural Networks (CNNs) have shown impressive performance in various vision tasks such as image classification, object detection and semantic segmentation.
2 code implementations • 16 Jun 2020 • Siyu Chen, Junting Pan, Guanglu Song, Manyuan Zhang, Hao Shao, Ziyi Lin, Jing Shao, Hongsheng Li, Yu Liu
This technical report introduces our winning solution to the spatio-temporal action localization track, AVA-Kinetics Crossover, in ActivityNet Challenge 2020.
4 code implementations • ICLR 2021 • Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li
In this paper, we are the first to study training from scratch an N:M fine-grained structured sparse network, which can maintain the advantages of both unstructured fine-grained sparsity and structured coarse-grained sparsity simultaneously on specifically designed GPUs.
3 code implementations • 28 May 2022 • Renrui Zhang, Ziyu Guo, Rongyao Fang, Bin Zhao, Dong Wang, Yu Qiao, Hongsheng Li, Peng Gao
By fine-tuning on downstream tasks, Point-M2AE achieves 86. 43% accuracy on ScanObjectNN, +3. 36% to the second-best, and largely benefits the few-shot classification, part segmentation and 3D object detection with the hierarchical pre-training scheme.
Ranked #4 on 3D Point Cloud Linear Classification on ModelNet40 (using extra training data)
2 code implementations • CVPR 2023 • Renrui Zhang, Liuhui Wang, Yu Qiao, Peng Gao, Hongsheng Li
Pre-training by numerous image data has become de-facto for robust 2D representations.
Ranked #2 on 3D Point Cloud Linear Classification on ModelNet40 (using extra training data)
3D Point Cloud Linear Classification Few-Shot 3D Point Cloud Classification
1 code implementation • ICCV 2021 • Ziniu Wan, Zhengjia Li, Maoqing Tian, Jianbo Liu, Shuai Yi, Hongsheng Li
To this end, we propose Multi-level Attention Encoder-Decoder Network (MAED), including a Spatial-Temporal Encoder (STE) and a Kinematic Topology Decoder (KTD) to model multi-level attentions in a unified framework.
Ranked #40 on 3D Human Pose Estimation on MPI-INF-3DHP
3 code implementations • CVPR 2019 • Xiao Zhang, Rui Zhao, Yu Qiao, Xiaogang Wang, Hongsheng Li
Our results show that training deep neural networks with the AdaCos loss is stable and able to achieve high face recognition accuracy.
Ranked #6 on Face Verification on MegaFace
1 code implementation • 2 Apr 2024 • Hao He, Yinghao Xu, Yuwei Guo, Gordon Wetzstein, Bo Dai, Hongsheng Li, Ceyuan Yang
Controllability plays a crucial role in video generation since it allows users to create desired content.
2 code implementations • 14 Mar 2024 • Haiyang Wang, Hao Tang, Li Jiang, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, LiWei Wang
Due to its simple design, this paradigm holds promise for narrowing the architectural gap between vision and language.
1 code implementation • ICCV 2023 • Xiaoyu Shi, Zhaoyang Huang, Weikang Bian, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li
We first propose a TRi-frame Optical Flow (TROF) module that estimates bi-directional optical flows for the center frame in a three-frame manner.
1 code implementation • 4 Mar 2024 • Yuchen Duan, Weiyun Wang, Zhe Chen, Xizhou Zhu, Lewei Lu, Tong Lu, Yu Qiao, Hongsheng Li, Jifeng Dai, Wenhai Wang
Our evaluations demonstrate that VRWKV surpasses ViT's performance in image classification and has significantly faster speeds and lower memory usage processing high-resolution inputs.
4 code implementations • ICCV 2017 • Wei Yang, Shuang Li, Wanli Ouyang, Hongsheng Li, Xiaogang Wang
We investigate our method on two standard benchmarks for human pose estimation.
Ranked #6 on Pose Estimation on Leeds Sports Poses
1 code implementation • CVPR 2021 • Fangzhou Hong, Hui Zhou, Xinge Zhu, Hongsheng Li, Ziwei Liu
2) Dynamic Shifting for complex point distributions.
Ranked #2 on Panoptic Segmentation on SemanticKITTI
1 code implementation • 14 Mar 2022 • Fangzhou Hong, Hui Zhou, Xinge Zhu, Hongsheng Li, Ziwei Liu
In this work, we address the task of LiDAR-based panoptic segmentation, which aims to parse both objects and scenes in a unified manner.