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 • 8 Mar 2018 • Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du
Generating poetry from images is much more challenging than generating poetry from text, since images contain very rich visual information which cannot be described completely using several keywords, and a good poem should convey the image accurately.
no code implementations • 20 Feb 2018 • Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan
Cubic regularization (CR) is an optimization method with emerging popularity due to its capability to escape saddle points and converge to second-order stationary solutions for nonconvex optimization.
no code implementations • 6 Nov 2017 • Fang Yuan, Zhe Wang, Jie Lin, Luis Fernando D'Haro, Kim Jung Jae, Zeng Zeng, Vijay Chandrasekhar
In particular, we unify traditional "knowledgeless" machine learning models and knowledge graphs in a novel end-to-end framework.
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 • 1 Sep 2016 • Limin Wang, Zhe Wang, Yu Qiao, Luc van Gool
These newly designed transferring techniques exploit multi-task learning frameworks to incorporate extra knowledge from other networks and additional datasets into the training procedure of event CNNs.
no code implementations • 14 Oct 2015 • Limin Wang, Zhe Wang, Sheng Guo, Yu Qiao
Event recognition from still images is one of the most important problems for image understanding.
no code implementations • 9 Jan 2013 • Xiaowang Zhang, Kewen Wang, Zhe Wang, Yue Ma, Guilin Qi
DL-Lite is an important family of description logics.
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 • 2 May 2015 • Limin Wang, Zhe Wang, Wenbin Du, Yu Qiao
Meanwhile, we investigate different network architectures for OS-CNN design, and adapt the deep (AlexNet) and very-deep (GoogLeNet) networks to the task of event recognition.
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 • 4 Feb 2014 • Bernardo Cuenca Grau, Ian Horrocks, Markus Krötzsch, Clemens Kupke, Despoina Magka, Boris Motik, Zhe Wang
Existential rules are closely related to the Horn fragments of the OWL 2 ontology language; furthermore, several prominent OWL 2 reasoners implement CQ answering by using the chase to materialise all relevant facts.
no code implementations • 27 Jun 2018 • Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen
Epistemic logics are a primary formalism for multi-agent systems but major reasoning tasks in such epistemic logics are intractable, which impedes applications of multi-agent epistemic logics in automatic planning.
no code implementations • ECCV 2018 • Ceyuan Yang, Zhe Wang, Xinge Zhu, Chen Huang, Jianping Shi, Dahua Lin
Human pose, on the other hand, can represent motion patterns intrinsically and interpretably, and impose the geometric constraints regardless of appearance.
no code implementations • 22 Aug 2018 • Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan
This note considers the inexact cubic-regularized Newton's method (CR), which has been shown in \cite{Cartis2011a} to achieve the same order-level convergence rate to a secondary stationary point as the exact CR \citep{Nesterov2006}.
no code implementations • NeurIPS 2018 • Yi Zhou, Zhe Wang, Yingbin Liang
Cubic-regularized Newton's method (CR) is a popular algorithm that guarantees to produce a second-order stationary solution for solving nonconvex optimization problems.
no code implementations • 11 Sep 2018 • Chengyao Qian, Ting Liu, Hao Jiang, Zhe Wang, Pengfei Wang, Mingxin Guan, Biao Sun
This report summarises our method and validation results for the ISIC Challenge 2018 - Skin Lesion Analysis Towards Melanoma Detection - Task 1: Lesion Segmentation.
no code implementations • 9 Oct 2018 • Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan
However, such a successful acceleration technique has not yet been proposed for second-order algorithms in nonconvex optimization. In this paper, we apply the momentum scheme to cubic regularized (CR) Newton's method and explore the potential for acceleration.
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 • 31 Jan 2019 • Houpu Yao, Zhe Wang, GuangYu Nie, Yassine Mazboudi, Yezhou Yang, Yi Ren
The vulnerability of neural networks under adversarial attacks has raised serious concerns and motivated extensive research.
no code implementations • 7 Feb 2019 • Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh
In this paper, we develop novel momentum schemes with flexible coefficient settings to accelerate SPIDER for nonconvex and nonsmooth composite optimization, and show that the resulting algorithms achieve the near-optimal gradient oracle complexity for achieving a generalized first-order stationary condition.
no code implementations • 19 May 2019 • Zhe Wang, Liyan Chen, Shaurya Rathore, Daeyun Shin, Charless Fowlkes
Full 3D estimation of human pose from a single image remains a challenging task despite many recent advances.
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 • CVPR 2019 2019 • Jinzhan Su, Zhe Wang, Chunyuan Liao, Haibin Ling
In particular, for a given image, our algorithm first estimates its global facial shape through a global regression network (GRegNet) and then using cascaded local refinement networks (LRefNet) to sequentially improve the alignment result.
Ranked #14 on Face Alignment on 300W
no code implementations • 12 Sep 2019 • Yangming Zhou, Jin-Kao Hao, Zhang-Hua Fu, Zhe Wang, Xiangjing Lai
Population-based memetic algorithms have been successfully applied to solve many difficult combinatorial problems.
no code implementations • ICML 2020 • Kaiyi Ji, Zhe Wang, Bowen Weng, Yi Zhou, Wei zhang, Yingbin Liang
In this paper, we propose a novel scheme, which eliminates backtracking line search but still exploits the information along optimization path by adapting the batch size via history stochastic gradients.
no code implementations • 27 Oct 2019 • Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang
Two types of zeroth-order stochastic algorithms have recently been designed for nonconvex optimization respectively based on the first-order techniques SVRG and SARAH/SPIDER.
no code implementations • NeurIPS 2019 • Zhe Wang, Kaiyi Ji, Yi Zhou, Yingbin Liang, Vahid Tarokh
SARAH and SPIDER are two recently developed stochastic variance-reduced algorithms, and SPIDER has been shown to achieve a near-optimal first-order oracle complexity in smooth nonconvex optimization.
no code implementations • 28 Nov 2019 • Mingyu Ding, Zhe Wang, Bolei Zhou, Jianping Shi, Zhiwu Lu, Ping Luo
Moreover, our framework is able to utilize both labeled and unlabeled frames in the video through joint training, while no additional calculation is required in inference.
no code implementations • ICLR 2020 • Tengyu Xu, Zhe Wang, Yi Zhou, Yingbin Liang
Furthermore, the variance error (for both i. i. d.\ and Markovian sampling) and the bias error (for Markovian sampling) of VRTD are significantly reduced by the batch size of variance reduction in comparison to those of vanilla TD.
no code implementations • 13 Feb 2020 • Hongwei Yi, Shaoshuai Shi, Mingyu Ding, Jiankai Sun, Kui Xu, Hui Zhou, Zhe Wang, Sheng Li, Guoping Wang
First, the semantic context information in LiDAR is seldom explored in previous works, which may help identify ambiguous vehicles.
no code implementations • 18 Feb 2020 • QingBiao Li, CHUNHUA WU, KangFeng Zheng, Zhe Wang
To address these problems, we propose a hierarchical transformer framework (apart from the description of other studies, the "transformer" in this paper usually refers to the encoder part of the transformer) with a lower-level transformer to model the word-level input and an upper-level transformer to capture the context of utterance-level embeddings.
Ranked #1 on Emotion Recognition in Conversation on EmotionPush
no code implementations • 26 Feb 2020 • Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh
Our APG-restart is designed to 1) allow for adopting flexible parameter restart schemes that cover many existing ones; 2) have a global sub-linear convergence rate in nonconvex and nonsmooth optimization; and 3) have guaranteed convergence to a critical point and have various types of asymptotic convergence rates depending on the parameterization of local geometry in nonconvex and nonsmooth optimization.
no code implementations • 7 Apr 2020 • Zhe Wang, Daeyun Shin, Charless C. Fowlkes
Monocular estimation of 3d human pose has attracted increased attention with the availability of large ground-truth motion capture datasets.
Ranked #1 on 3D Human Pose Estimation on Geometric Pose Affordance (MPJPE metric)
no code implementations • CVPR 2021 • Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Zhe Wang, Jianping Shi
Compared to previous methods for adaptive stereo matching, our AdaStereo realizes a more standard, complete and effective domain adaptation pipeline.
no code implementations • 16 Apr 2020 • Tianyu Liu, Qinghai Liao, Lu Gan, Fulong Ma, Jie Cheng, Xupeng Xie, Zhe Wang, Yingbing Chen, Yilong Zhu, Shuyang Zhang, Zhengyong Chen, Yang Liu, Meng Xie, Yang Yu, Zitong Guo, Guang Li, Peidong Yuan, Dong Han, Yuying Chen, Haoyang Ye, Jianhao Jiao, Peng Yun, Zhenhua Xu, Hengli Wang, Huaiyang Huang, Sukai Wang, Peide Cai, Yuxiang Sun, Yandong Liu, Lujia Wang, Ming Liu
Moreover, many countries have imposed tough lockdown measures to reduce the virus transmission (e. g., retail, catering) during the pandemic, which causes inconveniences for human daily life.
no code implementations • NeurIPS 2020 • Tengyu Xu, Zhe Wang, Yingbin Liang
We show that the overall sample complexity for a mini-batch AC to attain an $\epsilon$-accurate stationary point improves the best known sample complexity of AC by an order of $\mathcal{O}(\epsilon^{-1}\log(1/\epsilon))$, and the overall sample complexity for a mini-batch NAC to attain an $\epsilon$-accurate globally optimal point improves the existing sample complexity of NAC by an order of $\mathcal{O}(\epsilon^{-1}/\log(1/\epsilon))$.
no code implementations • 7 May 2020 • Tengyu Xu, Zhe Wang, Yingbin Liang
In the first nested-loop design, actor's one update of policy is followed by an entire loop of critic's updates of the value function, and the finite-sample analysis of such AC and NAC algorithms have been recently well established.
no code implementations • 15 May 2020 • Zhe Wang, Jun Wang, Yezhou Yang
Pedestrian detection has been heavily studied in the last decade due to its wide application.
no code implementations • 12 Jun 2020 • Xunpeng Huang, Hao Zhou, Runxin Xu, Zhe Wang, Lei LI
Adaptive gradient methods have attracted much attention of machine learning communities due to the high efficiency.
no code implementations • 16 Jun 2020 • Tengyu Xu, Zhe Wang, Yingbin Liang, H. Vincent Poor
In this paper, we focus on such a gradient-free setting, and consider the nonconvex-strongly-concave minimax stochastic optimization problem.
no code implementations • 21 Jun 2020 • Zhiyuan Fang, Shu Kong, Zhe Wang, Charless Fowlkes, Yezhou Yang
The referring attention is our designed mechanism acting as a scoring function for grounding the given queries over frames temporally.
no code implementations • 9 Aug 2020 • Zhe Wang, Yingbin Liang, Pengsheng Ji
Community detection in large social networks is affected by degree heterogeneity of nodes.
no code implementations • 27 Oct 2020 • Bin Xu, Junzhe Shi, Sixu Li, Huayi Li, Zhe Wang
Then, the result from a vehicle without ultracapacitor is used as the baseline, which is compared with the results from the vehicle with ultracapacitor using Q-learning, and two heuristic methods as the energy management strategies.
no code implementations • 27 Oct 2020 • Bin Xu, Jun Hou, Junzhe Shi, Huayi Li, Dhruvang Rathod, Zhe Wang, Zoran Filipi
This study aims to reduce the learning iterations of Q-learning in HEV application and improve fuel consumption in initial learning phases utilizing warm start methods.
no code implementations • 20 Nov 2020 • Tai Wang, Conghui He, Zhe Wang, Jianping Shi, Dahua Lin
Recent years have witnessed the rapid progress of perception algorithms on top of LiDAR, a widely adopted sensor for autonomous driving systems.
no code implementations • 27 Nov 2020 • Zhenxun Yuan, Xiao Song, Lei Bai, Wengang Zhou, Zhe Wang, Wanli Ouyang
As a special design of this transformer, the information encoded in the encoder is different from that in the decoder, i. e. the encoder encodes temporal-channel information of multiple frames while the decoder decodes the spatial-channel information for the current frame in a voxel-wise manner.
no code implementations • 1 Dec 2020 • Mingzhi Jiang, Tianhao Wu, Zhe Wang, Yi Gong, Lin Zhang, Ren Ping Liu
In particular, we propose a Multi-intersection Vehicular Cooperative Control (MiVeCC) to enable cooperation among vehicles in a large area with multiple unsignalized intersections.
no code implementations • 24 Nov 2020 • Thomas Matheson, Carl Stubens, Nicholas Wolf, Chien-Hsiu Lee, Gautham Narayan, Abhijit Saha, Adam Scott, Monika Soraisam, Adam S. Bolton, Benjamin Hauger, David R. Silva, John Kececioglu, Carlos Scheidegger, Richard Snodgrass, Patrick D. Aleo, Eric Evans-Jacquez, Navdeep Singh, Zhe Wang, Shuo Yang, Zhenge Zhao
We describe the Arizona-NOIRLab Temporal Analysis and Response to Events System (ANTARES), a software instrument designed to process large-scale streams of astronomical time-domain alerts.
Instrumentation and Methods for Astrophysics
no code implementations • 6 Feb 2021 • Yuxiao Lu, Jie Lin, Chao Jin, Zhe Wang, Min Wu, Khin Mi Mi Aung, XiaoLi Li
Despite the faster HECNN inference, the mainstream packing schemes Dense Packing (DensePack) and Convolution Packing (ConvPack) introduce expensive rotation overhead, which prolongs the inference latency of HECNN for deeper and wider CNN architectures.
no code implementations • 3 Mar 2021 • Arshdeep Sekhon, Zhe Wang, Yanjun Qi
Understanding relationships between feature variables is one important way humans use to make decisions.
no code implementations • 16 Mar 2021 • Tianyu Luan, Yali Wang, Junhao Zhang, Zhe Wang, Zhipeng Zhou, Yu Qiao
By coupling advanced 3D pose estimators and HMR in a serial or parallel manner, these two frameworks can effectively correct human mesh with guidance of a concise pose calibration module.
Ranked #4 on 3D Human Pose Estimation on Surreal
no code implementations • 11 May 2021 • Zhe Wang, Claude Guet
The present work's objective is two-fold, first to show how an a priori knowledge can be incorporated into neural networks to achieve efficient learning and second to apply the method and study how the induced field and polarizability change when a dielectric particle progressively changes its shape from a sphere to a cube.
no code implementations • 29 May 2021 • Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless Fowlkes
However, it is quite expensive to annotate every frame in a large corpus of videos to construct a comprehensive supervised training dataset.
no code implementations • 8 Jun 2021 • Shayegan Omidshafiei, Daniel Hennes, Marta Garnelo, Eugene Tarassov, Zhe Wang, Romuald Elie, Jerome T. Connor, Paul Muller, Ian Graham, William Spearman, Karl Tuyls
In multiagent environments, several decision-making individuals interact while adhering to the dynamics constraints imposed by the environment.
no code implementations • 4 Aug 2021 • Zhe Wang, Claude Guet
We introduce a self-consistent deep-learning framework which, for a noisy deterministic time series, provides unsupervised filtering, state-space reconstruction, identification of the underlying differential equations and forecasting.
no code implementations • 10 Aug 2021 • Shangfeng Dai, Haobin Lin, Zhichen Zhao, Jianying Lin, Honghuan Wu, Zhe Wang, Sen yang, Ji Liu
Moreover, POSO can be further generalized to regular users, inactive users and returning users (+2%-3% on Watch Time), as well as item cold start (+3. 8% on Watch Time).
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 • 15 Sep 2021 • Junhao Zhang, Yali Wang, Zhipeng Zhou, Tianyu Luan, Zhe Wang, Yu Qiao
Graph Convolution Network (GCN) has been successfully used for 3D human pose estimation in videos.
Ranked #10 on 3D Human Pose Estimation on HumanEva-I
no code implementations • 27 Sep 2021 • Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi
This paper proposes a novel method, ST-MAML, that empowers model-agnostic meta-learning (MAML) to learn from multiple task distributions.
no code implementations • 29 Sep 2021 • Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar
We formulate the quantization of deep neural networks as a rate-distortion optimization problem, and present an ultra-fast algorithm to search the bit allocation of channels.
no code implementations • 14 Oct 2021 • Ziyi Chen, Zhengyang Hu, Qunwei Li, Zhe Wang, Yi Zhou
However, GDA has been proved to converge to stationary points for nonconvex minimax optimization, which are suboptimal compared with local minimax points.
no code implementations • 25 Sep 2019 • Xunpeng Huang, Zhengyang Liu, Zhe Wang, Yue Yu, Lei LI
To the best of our knowledge, Acutum is the first adaptive gradient method without second moments.
no code implementations • 25 Sep 2019 • Zhe Wang, Jie Lin, Mohamed M. Sabry Aly, Sean I Young, Vijay Chandrasekhar, Bernd Girod
In this paper, we address an important problem of how to optimize the bit allocation of weights and activations for deep CNNs compression.
no code implementations • 28 Sep 2020 • Tengyu Xu, Zhe Wang, Yingbin Liang, H. Vincent Poor
Specifically, a novel variance reduction algorithm SREDA was proposed recently by (Luo et al. 2020) to solve such a problem, and was shown to achieve the optimal complexity dependence on the required accuracy level $\epsilon$.
no code implementations • 9 Dec 2021 • Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Yuexin Ma, Zhe Wang, Jianping Shi
Compared to previous methods, our AdaStereo realizes a more standard, complete and effective domain adaptation pipeline.
no code implementations • 28 Dec 2021 • Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen
However, its effect on graph neural networks is less than satisfactory since the graph topology and node attributes are likely to change in a dynamic way and in this case a static teacher model is insufficient in guiding student training.
no code implementations • 9 Dec 2021 • Zhe Wang, Nicolas Privault, Claude Guet
We present an algorithm for the calibration of local volatility from market option prices through deep self-consistent learning, by approximating both market option prices and local volatility using deep neural networks, respectively.
no code implementations • 1 May 2022 • Zhe Wang, Jimei Yang, Charless Fowlkes
Our framework leverages the best of non-parametric and model-based methods and is also robust to partial occlusion.
Ranked #1 on 3D Absolute Human Pose Estimation on Human3.6M (PA-MPJPE metric)
no code implementations • CVPR 2022 • Ruibo Li, Chi Zhang, Guosheng Lin, Zhe Wang, Chunhua Shen
In this work, we focus on scene flow learning on point clouds in a self-supervised manner.
no code implementations • 28 Jul 2022 • Hai Yang, Yuhang Sheng, Yi Jiang, Xiaoyang Fang, Dongdong Li, Jing Zhang, Zhe Wang
In addition, Subtype-Former also achieved outstanding results in pan-cancer subtyping, which can help analyze the commonalities and differences across various cancer types at the molecular level.
no code implementations • 12 Aug 2022 • Xiangyu Zhao, Di Zang, Sheng Wang, Zhenrong Shen, Kai Xuan, Zeyu Wei, Zhe Wang, Ruizhe Zheng, Xuehai Wu, Zheren Li, Qian Wang, Zengxin Qi, Lichi Zhang
To address these issues, we propose a novel medical image inpainting model named TBI-GAN to synthesize TBI MR scans with paired brain label maps.
no code implementations • 15 Aug 2022 • Zepeng Huai, Zhe Wang, Yifan Zhu, Peng Zhang
Paper recommendation with user-generated keyword is to suggest papers that simultaneously meet user's interests and are relevant to the input keyword.
Click-Through Rate Prediction Graph Representation Learning +1
no code implementations • 26 Aug 2022 • Lichen Jia, Bowen Tang, Chenggang Wu, Zhe Wang, Zihan Jiang, Yuanming Lai, Yan Kang, Ning Liu, Jingfeng Zhang
The binary code similarity detection (BCSD) method measures the similarity of two binary executable codes.
no code implementations • 5 Sep 2022 • Zhenhua Dong, Zhe Wang, Jun Xu, Ruiming Tang, JiRong Wen
Soon after the invention of the Internet, the recommender system emerged and related technologies have been extensively studied and applied by both academia and industry.
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 • 22 Sep 2022 • Ian Gemp, Thomas Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome Connor, Vibhavari Dasagi, Bart De Vylder, Edgar Duenez-Guzman, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, SiQi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Perolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
The Game Theory & Multi-Agent team at DeepMind studies several aspects of multi-agent learning ranging from computing approximations to fundamental concepts in game theory to simulating social dilemmas in rich spatial environments and training 3-d humanoids in difficult team coordination tasks.
no code implementations • 26 Sep 2022 • Renzo Andri, Beatrice Bussolino, Antonio Cipolletta, Lukas Cavigelli, Zhe Wang
The Winograd-enhanced DSA achieves up to 1. 85x gain in energy efficiency and up to 1. 83x end-to-end speed-up for state-of-the-art segmentation and detection networks.
no code implementations • 25 Oct 2022 • Chuanfei Hu, Hang Shao, Bo Dong, Zhe Wang, Yongxiong Wang
Representing the spatial properties of facial attributes is a vital challenge for facial attribute recognition (FAR).
no code implementations • 25 Oct 2022 • Chenyang Zhao, Chuanfei Hu, Hang Shao, Zhe Wang, Yongxiong Wang
An automatic vision-based sewer inspection plays a key role of sewage system in a modern city.
no code implementations • 26 Oct 2022 • Qing Wang, Hang Chen, Ya Jiang, Zhe Wang, Yuyang Wang, Jun Du, Chin-Hui Lee
In this paper, we propose a deep learning based multi-speaker direction of arrival (DOA) estimation with audio and visual signals by using permutation-free loss function.
no code implementations • 4 Nov 2022 • Ziyan Yin, Zhe Wang, Jun Li, Ming Ding, Wen Chen, Shi Jin
The explosive growth of dynamic and heterogeneous data traffic brings great challenges for 5G and beyond mobile networks.
no code implementations • 16 Nov 2022 • Zhe Wang, Yongxiong Wang, Chuanfei Hu, Zhong Yin, Yu Song
Both the temporal dynamics and spatial correlations of Electroencephalogram (EEG), which contain discriminative emotion information, are essential for the emotion recognition.
no code implementations • 22 Nov 2022 • Yiheng Tang, Yongxiong Wang, Xiaoli Zhang, Zhe Wang
In the temporal contexts learning, we adopt the Bidirectional Long Short-Term Memory Network (Bi-LSTM) network to capture the dependencies among the EEG frames.
no code implementations • 5 Dec 2022 • Zheng-yang Zhang, Zhi-hui Liu, Rui Zhang, Rong-hua He, Zhe Wang
In conclusion, radiation source can be found timely when it falls off, to avoid radiation accident.
no code implementations • 26 Feb 2023 • Zhe Wang, Aladine Chetouani, Rachid Jennane
In this paper, we propose a learning model based on the convolutional Auto-Encoder and a hybrid loss strategy to generate new data for early KOA (KL-0 vs KL-2) diagnosis.
no code implementations • 4 Mar 2023 • Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu, Weisi Lin
A popular track of network compression approach is Quantization aware Training (QAT), which accelerates the forward pass during the neural network training and inference.
no code implementations • 23 Mar 2023 • Zhe Wang, Aladine Chetouani, Rachid Jennane
Knee OsteoArthritis (KOA) is a prevalent musculoskeletal disorder that causes decreased mobility in seniors.
no code implementations • 3 Apr 2023 • Jihan Yang, Runyu Ding, Zhe Wang, Xiaojuan Qi
Existing 3D scene understanding tasks have achieved high performance on close-set benchmarks but fail to handle novel categories in real-world applications.
no code implementations • 17 Apr 2023 • Zhe Wang, Aladine Chetouani, Mohamed Jarraya, Didier Hans, Rachid Jennane
In this paper, we propose a novel approach based on the Vision Transformer (ViT) model with original Selective Shuffled Position Embedding (SSPE) and key-patch exchange strategies to obtain different input sequences as a method of data augmentation for early detection of KOA (KL-0 vs KL-2).
no code implementations • 8 May 2023 • Yanna Jiang, Baihe Ma, Xu Wang, Ping Yu, Guangsheng Yu, Zhe Wang, Wei Ni, Ren Ping Liu
The demand for intelligent industries and smart services based on big data is rising rapidly with the increasing digitization and intelligence of the modern world.
no code implementations • 12 May 2023 • Zhe Wang, Yongxiong Wang, Jiapeng Zhang, Yiheng Tang, Zhiqun Pan
The domain adversarial neural networks (DANN), where the classification loss and domain loss jointly update the parameters of feature extractor, are adopted to deal with the domain shift.
no code implementations • CVPR 2023 • Ruibo Li, Hanyu Shi, Ziang Fu, Zhe Wang, Guosheng Lin
To this end, we propose a two-stage weakly supervised approach, where the segmentation model trained with the incomplete binary masks in Stage1 will facilitate the self-supervised learning of the motion prediction network in Stage2 by estimating possible moving foregrounds in advance.
no code implementations • 24 May 2023 • Zhe Wang, ZhiJie He, Ding Liu
The article introduces a new method for applying Quantum Clustering to graph structures.
no code implementations • 6 Jun 2023 • Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng
In this architecture, the pre-ranking model is expected to be a lightweight approximation of the ranking model, which handles more candidates with strict latency requirements.
no code implementations • 8 Jun 2023 • Zhe Bian, Zhe Wang, Wenqiang Han, Kangping Wang
To tackle these issues, we propose a novel token pruning method that retains information from non-crucial tokens by merging them with more crucial tokens, thereby mitigating the impact of pruning on model performance.
no code implementations • 4 Aug 2023 • Haotian Zhang, Huifeng Zhao, Xujun Zhang, Qun Su, Hongyan Du, Chao Shen, Zhe Wang, Dan Li, Peichen Pan, Guangyong Chen, Yu Kang, Chang-Yu Hsieh, Tingjun Hou
Drug discovery is a highly complicated process, and it is unfeasible to fully commit it to the recently developed molecular generation methods.
no code implementations • 11 Aug 2023 • Weilong Ding, Tianpu Zhang, Zhe Wang
Inter-city highway transportation is significant for citizens' modern urban life and generates heterogeneous sensory data with spatio-temporal characteristics.
no code implementations • 11 Aug 2023 • Xuyang Hou, Zhe Wang, Qi Liu, Tan Qu, Jia Cheng, Jun Lei
Many works focus on user behavior modeling to improve CTR prediction performance.
no code implementations • 16 Aug 2023 • Tongda Xu, Qian Zhang, Yanghao Li, Dailan He, Zhe Wang, Yuanyuan Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang
We propose conditional perceptual quality, an extension of the perceptual quality defined in \citet{blau2018perception}, by conditioning it on user defined information.
no code implementations • 25 Aug 2023 • Zhe Wang, Shoukun Sun, Xiang Que, Xiaogang Ma
Compared to existing interactive segmentation tools, RSISeg offers robust interactivity, modifiability, and adaptability to remote sensing data.
no code implementations • 16 Oct 2023 • Zhe Wang, Petar Veličković, Daniel Hennes, Nenad Tomašev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls
The utility of TacticAI is validated by a qualitative study conducted with football domain experts at Liverpool FC.
no code implementations • 17 Oct 2023 • Ruibo Li, Chi Zhang, Zhe Wang, Chunhua Shen, Guosheng Lin
By rigidly aligning each region with its potential counterpart in the target point cloud, we obtain a region-specific rigid transformation to generate its pseudo flow labels.
no code implementations • 14 Nov 2023 • Zhiyun Song, Zengxin Qi, Xin Wang, Xiangyu Zhao, Zhenrong Shen, Sheng Wang, Manman Fei, Zhe Wang, Di Zang, Dongdong Chen, Linlin Yao, Qian Wang, Xuehai Wu, Lichi Zhang
Cross-modality synthesis (CMS), super-resolution (SR), and their combination (CMSR) have been extensively studied for magnetic resonance imaging (MRI).
no code implementations • 16 Nov 2023 • Jingnan Gao, Zhuo Chen, Yichao Yan, Bowen Pan, Zhe Wang, Jiangjing Lyu, Xiaokang Yang
In our method, we first employ an efficient surface-based model with a multi-view supervision module to ensure accurate mesh reconstruction.
no code implementations • 15 Nov 2023 • Qi Liu, Xuyang Hou, Haoran Jin, Jin Chen, Zhe Wang, Defu Lian, Tan Qu, Jia Cheng, Jun Lei
The insights from this subset reveal the user's decision-making process related to the candidate item, improving prediction accuracy.
no code implementations • 29 Nov 2023 • Gerard J. Kleywegt, Paul D. Adams, Sarah J. Butcher, Cathy Lawson, Alexis Rohou, Peter B. Rosenthal, Sriram Subramaniam, Maya Topf, Sanja Abbott, Philip R. Baldwin, John M. Berrisford, Gérard Bricogne, Preeti Choudhary, Tristan I. Croll, Radostin Danev, Sai J. Ganesan, Timothy Grant, Aleksandras Gutmanas, Richard Henderson, J. Bernard Heymann, Juha T. Huiskonen, Andrei Istrate, Takayuki Kato, Gabriel C. Lander, Shee-Mei Lok, Steven J. Ludtke, Garib N. Murshudov, Ryan Pye, Grigore D. Pintilie, Jane S. Richardson, Carsten Sachse, Osman Salih, Sjors H. W. Scheres, Gunnar F. Schroeder, Carlos Oscar S. Sorzano, Scott M. Stagg, Zhe Wang, Rangana Warshamanage, John D. Westbrook, Martyn D. Winn, Jasmine Y. Young, Stephen K. Burley, Jeffrey C. Hoch, Genji Kurisu, Kyle Morris, Ardan Patwardhan, Sameer Velankar
In January 2020, a workshop was held at EMBL-EBI (Hinxton, UK) to discuss data requirements for deposition and validation of cryoEM structures, with a focus on single-particle analysis.
no code implementations • 9 Dec 2023 • Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei
Most existing methods focus on the network architecture design of the CTR model for better accuracy and suffer from the data sparsity problem.
no code implementations • 3 Dec 2023 • Dongdong Li, Zhongliang Zeng, Zhe Wang, Hai Yang
The ESTformer, with the fixed masking strategy, adopts a mask token to up-sample the low-resolution (LR) EEG data in case of disturbance from mathematical interpolation methods.
1 code implementation • 28 Feb 2024 • Zhe Wang, Jianping Wu, Mengjun Zheng, Chenchen Geng, Borui Zhen, Wei zhang, Hui Wu, Zhengyang Xu, Gang Xu, Si Chen, Xiang Li
Many tools exist for extracting structural and physiochemical descriptors from linear peptides to predict their properties, but similar tools for hydrocarbon-stapled peptides are lacking. Here, we present StaPep, a Python-based toolkit designed for generating 2D/3D structures and calculating 21 distinct features for hydrocarbon-stapled peptides. The current version supports hydrocarbon-stapled peptides containing 2 non-standard amino acids (norleucine and 2-aminoisobutyric acid) and 6 nonnatural anchoring residues (S3, S5, S8, R3, R5 and R8). Then we established a hand-curated dataset of 201 hydrocarbon-stapled peptides and 384 linear peptides with sequence information and experimental membrane permeability, to showcase StaPep's application in artificial intelligence projects. A machine learning-based predictor utilizing above calculated features was developed with AUC of 0. 85, for identifying cell-penetrating hydrocarbon-stapled peptides. StaPep's pipeline spans data retrieval, cleaning, structure generation, molecular feature calculation, and machine learning model construction for hydrocarbon-stapled peptides. The source codes and dataset are freely available on Github: https://github. com/dahuilangda/stapep_package.
no code implementations • 10 Mar 2024 • Xingyi Li, Zhiguo Cao, Yizheng Wu, Kewei Wang, Ke Xian, Zhe Wang, Guosheng Lin
To address this limitation, we present S-DyRF, a reference-based spatio-temporal stylization method for dynamic neural radiance fields.
no code implementations • 12 Mar 2024 • Hongcheng Zhang, Liu Liang, Pengxin Zeng, Xiao Song, Zhe Wang
Sparse 3D detectors have received significant attention since the query-based paradigm embraces low latency without explicit dense BEV feature construction.
no code implementations • 4 Apr 2024 • Yiming Zhang, Zhe Wang, Xinjie Li, Yunchen Yuan, Chengsong Zhang, Xiao Sun, Zhihang Zhong, Jian Wang
Human body restoration plays a vital role in various applications related to the human body.
no code implementations • 8 Apr 2024 • Jie Zhang, Jun Li, Long Shi, Zhe Wang, Shi Jin, Wen Chen, H. Vincent Poor
By leveraging the power of DT models learned over extensive datasets, the proposed architecture is expected to achieve rapid convergence with many fewer training epochs and higher performance in a new context, e. g., similar tasks with different state and action spaces, compared with DRL.
no code implementations • 13 Apr 2024 • Zhe Wang, Jiayi Zhang, Hongyang Du, Ruichen Zhang, Dusit Niyato, Bo Ai, Khaled B. Letaief
Next-generation multiple input multiple output (MIMO) is expected to be intelligent and scalable.
1 code implementation • COLING 2016 • Zhe Wang, wei he, Hua Wu, Haiyang Wu, Wei Li, Haifeng Wang, Enhong Chen
Chinese poetry generation is a very challenging task in natural language processing.
1 code implementation • 18 Apr 2024 • Yihua Shao, Hongyi Cai, Xinwei Long, Weiyi Lang, Zhe Wang, Haoran Wu, Yan Wang, Jiayi Yin, Yang Yang, Zhen Lei
We also extend our approach to a multi-vehicle cooperative system by deploying Motion Qformer on each vehicle and simultaneously inputting the inference-generated query into the MLP for autoregressive inference.
1 code implementation • 18 Apr 2018 • Trung-Hieu Tran, Zhe Wang, Sven Simon
This paper presents a computational framework for accurately estimating the disparity map of plenoptic images.
1 code implementation • 12 Jun 2020 • Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei LI
Due to its simplicity and outstanding ability to generalize, stochastic gradient descent (SGD) is still the most widely used optimization method despite its slow convergence.
1 code implementation • 24 Apr 2020 • Arshdeep Sekhon, Zhe Wang, Yanjun Qi
Learning the differential statistical dependency network between two contexts is essential for many real-life applications, mostly in the high dimensional low sample regime.
1 code implementation • 3 Feb 2023 • Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi
Recent NLP literature has seen growing interest in improving model interpretability.
1 code implementation • 29 Dec 2020 • Shuang Xu, Lizhen Ji, Zhe Wang, Pengfei Li, Kai Sun, Chunxia Zhang, Jiangshe Zhang
According to the idea that each local region in the fused image should be similar to the sharpest one among source images, this paper presents an optimization-based approach to reduce defocus spread effects.
1 code implementation • 7 Sep 2022 • Qiang Xu, Shan Jia, Xinghao Jiang, Tanfeng Sun, Zhe Wang, Hong Yan
Based on the finding that multiple different modules in image acquisition will lead to different sensitivity inconsistencies to the convolutional neural network (CNN)-based rendering in images, we propose a deep texture rendering module for texture difference enhancement and discriminative texture representation.
2 code implementations • 31 Jul 2020 • Zhe Wang, Liqin Zhao, Biye Jiang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai
We name it COLD (Computing power cost-aware Online and Lightweight Deep pre-ranking system).
1 code implementation • 8 Jun 2023 • Xinhang Li, Yiying Yang, Zheng Yuan, Zhe Wang, Qinwen Wang, Chen Xu, Lei LI, Jianhua He, Lin Zhang
For the more challenging problem of pursuing multiple evading vehicles, these algorithms typically select a fixed target evading vehicle for pursuing vehicles without considering dynamic traffic situation, which significantly reduces pursuing success rate.
1 code implementation • 18 Nov 2020 • Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adria Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Perolat, Bart De Vylder, Ali Eslami, Mark Rowland, Andrew Jaegle, Remi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis
The rapid progress in artificial intelligence (AI) and machine learning has opened unprecedented analytics possibilities in various team and individual sports, including baseball, basketball, and tennis.
1 code implementation • 15 Mar 2023 • Siqi Fan, Zhe Wang, Yan Wang, Jingjing Liu
For semantic segmentation in urban scene understanding, RGB cameras alone often fail to capture a clear holistic topology in challenging lighting conditions.
Ranked #8 on Thermal Image Segmentation on PST900
1 code implementation • 13 Dec 2023 • Kewei Wang, Yizheng Wu, Zhiyu Pan, Xingyi Li, Ke Xian, Zhe Wang, Zhiguo Cao, Guosheng Lin
To improve the quality of pseudo labels, we propose a novel motion selection and re-generation module.
1 code implementation • 25 Oct 2018 • Zhe Wang, Kaiyi Ji, Yi Zhou, Yingbin Liang, Vahid Tarokh
SARAH and SPIDER are two recently developed stochastic variance-reduced algorithms, and SPIDER has been shown to achieve a near-optimal first-order oracle complexity in smooth nonconvex optimization.
1 code implementation • 2 May 2023 • Zhe Wang, Jake Grigsby, Yanjun Qi
In this work, we develop a novel DG training strategy, we call PGrad, to learn a robust gradient direction, improving models' generalization ability on unseen domains.
1 code implementation • 20 Mar 2024 • Kewei Wang, Yizheng Wu, Jun Cen, Zhiyu Pan, Xingyi Li, Zhe Wang, Zhiguo Cao, Guosheng Lin
To this end, we explore the feasibility of self-supervised motion prediction with only unlabeled LiDAR point clouds.
1 code implementation • 17 Jun 2017 • Zhe Wang, Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Sibo Song, Yuan Fang, Seokhwan Kim, Nancy Chen, Luis Fernando D'Haro, Luu Anh Tuan, Hongyuan Zhu, Zeng Zeng, Ngai Man Cheung, Georgios Piliouras, Jie Lin, Vijay Chandrasekhar
Beyond that, we extend the original competition by including text information in the classification, making this a truly multi-modal approach with vision, audio and text.
2 code implementations • 29 Oct 2022 • Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang
Point-of-Interest (POI) recommendation plays a vital role in various location-aware services.
1 code implementation • 15 Oct 2019 • Xuewei Ma, Geng Qin, Zhiyang Qiu, Mingxin Zheng, Zhe Wang
Learning latent representations for the roles of nodes helps to understand the network and to transfer knowledge across networks.
1 code implementation • 20 Oct 2020 • Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang, Ling Fan, Zhe Wang
We introduce a new approach for abstractive text summarization, Topic-Guided Abstractive Summarization, which calibrates long-range dependencies from topic-level features with globally salient content.
1 code implementation • 30 Aug 2023 • Mengping Yang, Zhe Wang, Wenyi Feng, Qian Zhang, Ting Xiao
Furthermore, the frequency awareness of the model is reinforced by encouraging the model to distinguish frequency signals.
1 code implementation • 12 Feb 2019 • Zhe Wang, Yingzhou Li, Jianfeng Lu
We develop an efficient algorithm, coordinate descent FCI (CDFCI), for the electronic structure ground state calculation in the configuration interaction framework.
Chemical Physics Computational Physics
1 code implementation • 14 Jun 2023 • Zhe Wang, Tingkai Yan
With the development of the Internet of Vehicles (IoV), vehicle wireless communication poses serious cybersecurity challenges.
2 code implementations • ICCV 2023 • Kaixin Xu, Zhe Wang, Xue Geng, Jie Lin, Min Wu, XiaoLi Li, Weisi Lin
On ImageNet, we achieve up to 4. 7% and 4. 6% higher top-1 accuracy compared to other methods for VGG-16 and ResNet-50, respectively.
1 code implementation • 24 Jan 2018 • Zhe Wang, Xiaoyi Liu, Liangjian Chen, Li-Min Wang, Yu Qiao, Xiaohui Xie, Charless Fowlkes
Visual question answering (VQA) is of significant interest due to its potential to be a strong test of image understanding systems and to probe the connection between language and vision.
2 code implementations • 26 Aug 2021 • Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang, Ling Fan, Zhe Wang
In this paper, we present a denoising sequence-to-sequence (seq2seq) autoencoder via contrastive learning for abstractive text summarization.
1 code implementation • 17 Jan 2024 • Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang
However, we find that theoretically: 1) Conditional generative model-based perceptual codec satisfies idempotence; 2) Unconditional generative model with idempotence constraint is equivalent to conditional generative codec.
1 code implementation • 19 Oct 2020 • Jie Lian, Jingyu Liu, Yizhou Yu, Mengyuan Ding, Yaoci Lu, Yi Lu, Jie Cai, Deshou Lin, Miao Zhang, Zhe Wang, Kai He, Yijie Yu
The detection of thoracic abnormalities challenge is organized by the Deepwise AI Lab.
1 code implementation • 19 Oct 2022 • Yaming Yang, Ziyu Guan, Zhe Wang, Wei Zhao, Cai Xu, Weigang Lu, Jianbin Huang
The two modules can effectively utilize and enhance each other, promoting the model to learn discriminative embeddings.
1 code implementation • 7 Mar 2023 • Siqi Fan, Zhe Wang, Xiaoliang Huo, Yan Wang, Jingjing Liu
Effective BEV object detection on infrastructure can greatly improve traffic scenes understanding and vehicle-toinfrastructure (V2I) cooperative perception.
Ranked #5 on 3D Object Detection on DAIR-V2X-I
1 code implementation • 24 Aug 2020 • Xiaohong Liu, Kangdi Shi, Zhe Wang, Jun Chen
Extensive experiments demonstrate that owing to the informativeness of the camera raw data, the effectiveness of the network architecture, and the separation of super-resolution and color correction processes, the proposed method achieves superior VSR results compared to the state-of-the-art and can be adapted to any specific camera-ISP.
2 code implementations • ECCV 2020 • Zhe Wang, Zhiyuan Fang, Jun Wang, Yezhou Yang
Person search by natural language aims at retrieving a specific person in a large-scale image pool that matches the given textual descriptions.
Ranked #18 on Text based Person Retrieval on CUHK-PEDES
1 code implementation • 9 Aug 2021 • Zhe Wang, Xinhang Li, Tianhao Wu, Chen Xu, Lin Zhang
This paper proposes a Swarm-Federated Deep Learning framework in the IoV system (IoV-SFDL) that integrates SL into the FDL framework.
1 code implementation • 31 May 2022 • Fei Shen, Zhe Wang, Zijun Wang, Xiaode Fu, Jiayi Chen, Xiaoyu Du, Jinhui Tang
Vision-based pattern identification (such as face, fingerprint, iris etc.)
1 code implementation • 27 Mar 2024 • Yanbing Zhang, Mengping Yang, Qin Zhou, Zhe Wang
However, an intriguing problem persists: Is it possible to capture multiple, novel concepts from one single reference image?
1 code implementation • 18 Oct 2021 • Haoyu Ma, Liangjian Chen, Deying Kong, Zhe Wang, Xingwei Liu, Hao Tang, Xiangyi Yan, Yusheng Xie, Shih-Yao Lin, Xiaohui Xie
The 3D position encoding guided by the epipolar field provides an efficient way of encoding correspondences between pixels of different views.
Ranked #20 on 3D Human Pose Estimation on Human3.6M (using extra training data)
1 code implementation • ICLR 2022 • Mingyu Ding, Yuqi Huo, Haoyu Lu, Linjie Yang, Zhe Wang, Zhiwu Lu, Jingdong Wang, Ping Luo
(4) Thorough studies of NCP on inter-, cross-, and intra-tasks highlight the importance of cross-task neural architecture design, i. e., multitask neural architectures and architecture transferring between different tasks.
1 code implementation • 1 Sep 2016 • Zhe Wang, Li-Min Wang, Yali Wang, Bo-Wen Zhang, Yu Qiao
In this paper, we propose a hybrid representation, which leverages the discriminative capacity of CNNs and the simplicity of descriptor encoding schema for image recognition, with a focus on scene recognition.
1 code implementation • 31 Jul 2023 • Mengping Yang, Zhe Wang
Despite numerous efforts to enhance training stability and synthesis quality in the limited data scenarios, there is a lack of a systematic survey that provides 1) a clear problem definition, critical challenges, and taxonomy of various tasks; 2) an in-depth analysis on the pros, cons, and remain limitations of existing literature; as well as 3) a thorough discussion on the potential applications and future directions in the field of image synthesis under limited data.
2 code implementations • 20 Mar 2023 • Zhe Wang, Siqi Fan, Xiaoliang Huo, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, Ya-Qin Zhang
In autonomous driving, Vehicle-Infrastructure Cooperative 3D Object Detection (VIC3D) makes use of multi-view cameras from both vehicles and traffic infrastructure, providing a global vantage point with rich semantic context of road conditions beyond a single vehicle viewpoint.
2 code implementations • 23 Feb 2024 • Zhe Wang, Siqi Fan, Xiaoliang Huo, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, Ya-Qin Zhang
In autonomous driving, cooperative perception makes use of multi-view cameras from both vehicles and infrastructure, providing a global vantage point with rich semantic context of road conditions beyond a single vehicle viewpoint.
1 code implementation • 11 Oct 2022 • Mengping Yang, Zhe Wang, Ziqiu Chi, Yanbing Zhang
Training GANs under limited data often leads to discriminator overfitting and memorization issues, causing divergent training.
1 code implementation • 16 Sep 2022 • Haoyu Ma, Zhe Wang, Yifei Chen, Deying Kong, Liangjian Chen, Xingwei Liu, Xiangyi Yan, Hao Tang, Xiaohui Xie
In this paper, we propose the token-Pruned Pose Transformer (PPT) for 2D human pose estimation, which can locate a rough human mask and performs self-attention only within selected tokens.
Ranked #17 on 3D Human Pose Estimation on Human3.6M (using extra training data)
1 code implementation • 15 Jul 2022 • Mengping Yang, Zhe Wang, Ziqiu Chi, Wenyi Feng
Concretely, we disentangle encoded features into multiple frequency components and perform low-frequency skip connections to preserve outline and structural information.
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 • 30 May 2022 • Jihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang, Xiaojuan Qi
Then, we build a benchmark to assess existing KD methods developed in the 2D domain for 3D object detection upon six well-constructed teacher-student pairs.
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 • 2 Aug 2016 • Yuanjun Xiong, Li-Min Wang, Zhe Wang, Bo-Wen Zhang, Hang Song, Wei Li, Dahua Lin, Yu Qiao, Luc van Gool, Xiaoou Tang
This paper presents the method that underlies our submission to the untrimmed video classification task of ActivityNet Challenge 2016.
1 code implementation • ICCV 2019 • Wenwei Zhang, Hui Zhou, Shuyang Sun, Zhe Wang, Jianping Shi, Chen Change Loy
Multi-sensor perception is crucial to ensure the reliability and accuracy in autonomous driving system, while multi-object tracking (MOT) improves that by tracing sequential movement of dynamic objects.
Ranked #10 on Multiple Object Tracking on KITTI Tracking test
1 code implementation • CVPR 2021 • Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi
Then, the detector is iteratively improved on the target domain by alternatively conducting two steps, which are the pseudo label updating with the developed quality-aware triplet memory bank and the model training with curriculum data augmentation.
3 code implementations • 1 Aug 2017 • Xiaoxiao Li, Yuankai Qi, Zhe Wang, Kai Chen, Ziwei Liu, Jianping Shi, Ping Luo, Xiaoou Tang, Chen Change Loy
Specifically, our Video Object Segmentation with Re-identification (VS-ReID) model includes a mask propagation module and a ReID module.
2 code implementations • CVPR 2020 • Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo
3D object detection from a single image without LiDAR is a challenging task due to the lack of accurate depth information.
Ranked #17 on Vehicle Pose Estimation on KITTI Cars Hard
1 code implementation • 10 Jun 2020 • Pi Qi, Xiaoqiang Zhu, Guorui Zhou, Yujing Zhang, Zhe Wang, Lejian Ren, Ying Fan, Kun Gai
Serving the main traffic in our real system now, SIM models user behavior data with maximum length reaching up to 54000, pushing SOTA to 54x.
1 code implementation • 9 Apr 2016 • Kai Kang, Hongsheng Li, Junjie Yan, Xingyu Zeng, Bin Yang, Tong Xiao, Cong Zhang, Zhe Wang, Ruohui Wang, Xiaogang Wang, Wanli Ouyang
Temporal and contextual information of videos are not fully investigated and utilized.
1 code implementation • 2 Mar 2021 • Yuenan Hou, Zheng Ma, Chunxiao Liu, Zhe Wang, Chen Change Loy
Channel pruning is broadly recognized as an effective approach to obtain a small compact model through eliminating unimportant channels from a large cumbersome network.
1 code implementation • CVPR 2016 • Bowen Zhang, Li-Min Wang, Zhe Wang, Yu Qiao, Hanli Wang
The deep two-stream architecture exhibited excellent performance on video based action recognition.
Ranked #74 on Action Recognition on UCF101
5 code implementations • 8 Jul 2015 • Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao
However, for action recognition in videos, the improvement of deep convolutional networks is not so evident.
Ranked #66 on Action Recognition on UCF101
2 code implementations • 24 Sep 2021 • Jake Grigsby, Zhe Wang, Nam Nguyen, Yanjun Qi
Multivariate time series forecasting focuses on predicting future values based on historical context.
3 code implementations • 4 Aug 2020 • Hui Zhou, Xinge Zhu, Xiao Song, Yuexin Ma, Zhe Wang, Hongsheng Li, Dahua Lin
A straightforward solution to tackle the issue of 3D-to-2D projection is to keep the 3D representation and process the points in the 3D space.
Ranked #11 on LIDAR Semantic Segmentation on nuScenes
1 code implementation • 4 Dec 2023 • Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, Lingming Zhang
Magicoder models are trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets to generate high-quality instruction data for code.
1 code implementation • 27 Oct 2022 • Haihao Shen, Ofir Zafrir, Bo Dong, Hengyu Meng, Xinyu Ye, Zhe Wang, Yi Ding, Hanwen Chang, Guy Boudoukh, Moshe Wasserblat
In this work, we propose a new pipeline for creating and running Fast Transformer models on CPUs, utilizing hardware-aware pruning, knowledge distillation, quantization, and our own Transformer inference runtime engine with optimized kernels for sparse and quantized operators.
1 code implementation • 28 Jun 2023 • Haihao Shen, Hengyu Meng, Bo Dong, Zhe Wang, Ofir Zafrir, Yi Ding, Yu Luo, Hanwen Chang, Qun Gao, Ziheng Wang, Guy Boudoukh, Moshe Wasserblat
We apply our sparse accelerator on widely-used Transformer-based language models including Bert-Mini, DistilBERT, Bert-Base, and BERT-Large.
1 code implementation • 25 May 2021 • SiQi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess
In a sequence of stages, players first learn to control a fully articulated body to perform realistic, human-like movements such as running and turning; they then acquire mid-level football skills such as dribbling and shooting; finally, they develop awareness of others and play as a team, bridging the gap between low-level motor control at a timescale of milliseconds, and coordinated goal-directed behaviour as a team at the timescale of tens of seconds.
11 code implementations • 8 May 2017 • Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc van Gool
Furthermore, based on the temporal segment networks, we won the video classification track at the ActivityNet challenge 2016 among 24 teams, which demonstrates the effectiveness of TSN and the proposed good practices.
Ranked #5 on Video Classification on COIN
19 code implementations • 2 Aug 2016 • Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc van Gool
The other contribution is our study on a series of good practices in learning ConvNets on video data with the help of temporal segment network.
Ranked #3 on Multimodal Activity Recognition on EV-Action
1 code implementation • ICLR 2020 • Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Perolat, Si-Qi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Remi Munos
This paper investigates a population-based training regime based on game-theoretic principles called Policy-Spaced Response Oracles (PSRO).
1 code implementation • 30 Jun 2022 • Julien Perolat, Bart De Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub, Vincent de Boer, Paul Muller, Jerome T. Connor, Neil Burch, Thomas Anthony, Stephen Mcaleer, Romuald Elie, Sarah H. Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent SIfre, Nathalie Beauguerlange, Remi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls
It has the additional complexity of requiring decision-making under imperfect information, similar to Texas hold'em poker, which has a significantly smaller game tree (on the order of $10^{164}$ nodes).
12 code implementations • CVPR 2020 • Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li
We present a novel and high-performance 3D object detection framework, named PointVoxel-RCNN (PV-RCNN), for accurate 3D object detection from point clouds.
1 code implementation • 31 Jan 2021 • Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang, Hongsheng Li
3D object detection is receiving increasing attention from both industry and academia thanks to its wide applications in various fields.
Ranked #2 on 3D Object Detection on KITTI Cars Easy val
6 code implementations • 8 Jul 2019 • Shaoshuai Shi, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li
3D object detection from LiDAR point cloud is a challenging problem in 3D scene understanding and has many practical applications.
8 code implementations • 23 Dec 2020 • Wenwei Zhang, Zhe Wang, Chen Change Loy
Due to the fact that multi-modality data augmentation must maintain consistency between point cloud and images, recent methods in this field typically use relatively insufficient data augmentation.
3 code implementations • 18 Apr 2017 • Kun Gai, Xiaoqiang Zhu, Han Li, Kai Liu, Zhe Wang
CTR prediction in real-world business is a difficult machine learning problem with large scale nonlinear sparse data.