Search Results for author: Qi Tian

Found 328 papers, 140 papers with code

Wavelet-Based Dual-Branch Network for Image Demoiréing

no code implementations ECCV 2020 Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Aleš Leonardis, Wengang Zhou, Qi Tian

When smartphone cameras are used to take photos of digital screens, usually moire patterns result, severely degrading photo quality.

Image Restoration Rain Removal

Extract and Merge: Superpixel Segmentation with Regional Attributes

no code implementations ECCV 2020 Jianqiao An, Yucheng Shi, Yahong Han, Meijun Sun, Qi Tian

For a certain object in an image, the relationship between its central region and the peripheral region is not well utilized in existing superpixel segmentation methods.

Attribute Superpixels

FTL: A universal framework for training low-bit DNNs via Feature Transfer

no code implementations ECCV 2020 Kunyuan Du, Ya zhang, Haibing Guan, Qi Tian, Shenggan Cheng, James Lin

Compared with low-bit models trained directly, the proposed framework brings 0. 5% to 3. 4% accuracy gains to three different quantization schemes.

Quantization Transfer Learning

API-Net: Robust Generative Classifier via a Single Discriminator

1 code implementation ECCV 2020 Xinshuai Dong, Hong Liu, Rongrong Ji, Liujuan Cao, Qixiang Ye, Jianzhuang Liu, Qi Tian

On the contrary, a discriminative classifier only models the conditional distribution of labels given inputs, but benefits from effective optimization owing to its succinct structure.

Robust classification

Interpretable Visual Reasoning via Probabilistic Formulation under Natural Supervision

no code implementations ECCV 2020 Xinzhe Han, Shuhui Wang, Chi Su, Weigang Zhang, Qingming Huang, Qi Tian

In this paper, we rethink implicit reasoning process in VQA, and propose a new formulation which maximizes the log-likelihood of joint distribution for the observed question and predicted answer.

Question Answering Visual Question Answering +1

Large-Scale Few-Shot Learning via Multi-Modal Knowledge Discovery

no code implementations ECCV 2020 Shuo Wang, Jun Yue, Jianzhuang Liu, Qi Tian, Meng Wang

It is a challenging problem since (1) the identifying process is susceptible to over-fitting with limited samples of an object, and (2) the sample imbalance between a base (known knowledge) category and a novel category is easy to bias the recognition results.

Few-Shot Learning

A Survey of Generative Techniques for Spatial-Temporal Data Mining

no code implementations15 May 2024 Qianru Zhang, Haixin Wang, Cheng Long, Liangcai Su, Xingwei He, Jianlong Chang, Tailin Wu, Hongzhi Yin, Siu-Ming Yiu, Qi Tian, Christian S. Jensen

By integrating generative techniques and providing a standardized framework, the paper contributes to advancing the field and encourages researchers to explore the vast potential of generative techniques in spatial-temporal data mining.

Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model

1 code implementation28 Mar 2024 Zhicai Wang, Longhui Wei, Tan Wang, Heyu Chen, Yanbin Hao, Xiang Wang, Xiangnan He, Qi Tian

Text-to-image (T2I) generative models have recently emerged as a powerful tool, enabling the creation of photo-realistic images and giving rise to a multitude of applications.

Data Augmentation Image Classification

DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment

no code implementations27 Mar 2024 Haitao Li, Qingyao Ai, Xinyan Han, Jia Chen, Qian Dong, Yiqun Liu, Chong Chen, Qi Tian

Most of the existing works focus on improving the representation ability for the contextualized embedding of the [CLS] token and calculate relevance using textual semantic similarity.

Retrieval Semantic Similarity +2

BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models

no code implementations27 Mar 2024 Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Zhijing Wu, Yiqun Liu, Chong Chen, Qi Tian

However, general LLMs, which are developed on open-domain data, may lack the domain-specific knowledge essential for tasks in vertical domains, such as legal, medical, etc.

Bayesian Optimization

GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting

1 code implementation15 Feb 2024 Chen Yang, Sikuang Li, Jiemin Fang, Ruofan Liang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian

Then we construct a Gaussian repair model based on diffusion models to supplement the omitted object information, where Gaussians are further refined.

Neural Rendering Object

Towards 3D Molecule-Text Interpretation in Language Models

1 code implementation25 Jan 2024 Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian

Through 3D molecule-text alignment and 3D molecule-centric instruction tuning, 3D-MoLM establishes an integration of 3D molecular encoder and LM.

Instruction Following Language Modelling +3

ChatterBox: Multi-round Multimodal Referring and Grounding

1 code implementation24 Jan 2024 Yunjie Tian, Tianren Ma, Lingxi Xie, Jihao Qiu, Xi Tang, Yuan Zhang, Jianbin Jiao, Qi Tian, Qixiang Ye

In this study, we establish a baseline for a new task named multimodal multi-round referring and grounding (MRG), opening up a promising direction for instance-level multimodal dialogues.

Language Modelling Visual Grounding

UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding

no code implementations12 Jan 2024 Bowen Shi, Peisen Zhao, Zichen Wang, Yuhang Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian, Xiaopeng Zhang

Vision-language foundation models, represented by Contrastive language-image pre-training (CLIP), have gained increasing attention for jointly understanding both vision and textual tasks.

Panoptic Segmentation Retrieval +1

Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models

no code implementations6 Jan 2024 Xin He, Longhui Wei, Lingxi Xie, Qi Tian

Multimodal Large Language Models (MLLMs) are experiencing rapid growth, yielding a plethora of noteworthy contributions in recent months.

Instruction Following

DeLR: Active Learning for Detection with Decoupled Localization and Recognition Query

no code implementations28 Dec 2023 Yuhang Zhang, Yuang Deng, Xiaopeng Zhang, Jie Li, Robert C. Qiu, Qi Tian

In DeLR, the query is based on region-level, and we only annotate the object region that is queried; 2) Instead of directly providing both localization and recognition annotations, we separately query the two components, and thus reduce the recognition budget with the pseudo class labels provided by the model.

Active Learning Object +2

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems

no code implementations25 Dec 2023 Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian

Rather than directly dismissing the role of incremental learning, we ascribe this lack of anticipated performance improvement to the mismatch between the LLM4Recarchitecture and incremental learning: LLM4Rec employs a single adaptation module for learning recommendation, hampering its ability to simultaneously capture long-term and short-term user preferences in the incremental learning context.

Incremental Learning Language Modelling +2

When Parameter-efficient Tuning Meets General-purpose Vision-language Models

1 code implementation16 Dec 2023 Yihang Zhai, Haixin Wang, Jianlong Chang, Xinlong Yang, Jinan Sun, Shikun Zhang, Qi Tian

Instruction tuning has shown promising potential for developing general-purpose AI capabilities by using large-scale pre-trained models and boosts growing research to integrate multimodal information for creative applications.

Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views

no code implementations7 Dec 2023 Yabo Chen, Jiemin Fang, YuYang Huang, Taoran Yi, Xiaopeng Zhang, Lingxi Xie, Xinggang Wang, Wenrui Dai, Hongkai Xiong, Qi Tian

We propose a cascade generation framework constructed with two Zero-1-to-3 models, named Cascade-Zero123, to tackle this issue, which progressively extracts 3D information from the source image.

Transparent objects

Boosting Segment Anything Model Towards Open-Vocabulary Learning

1 code implementation6 Dec 2023 Xumeng Han, Longhui Wei, Xuehui Yu, Zhiyang Dou, Xin He, Kuiran Wang, Zhenjun Han, Qi Tian

The recent Segment Anything Model (SAM) has emerged as a new paradigmatic vision foundation model, showcasing potent zero-shot generalization and flexible prompting.

Object Object Localization +2

Segment Any 3D Gaussians

no code implementations1 Dec 2023 Jiazhong Cen, Jiemin Fang, Chen Yang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian

Interactive 3D segmentation in radiance fields is an appealing task since its importance in 3D scene understanding and manipulation.

Interactive Segmentation Scene Understanding +1

Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model

no code implementations28 Nov 2023 Zelin Peng, Zhengqin Xu, Zhilin Zeng, Lingxi Xie, Qi Tian, Wei Shen

Parameter-efficient fine-tuning (PEFT) is an effective methodology to unleash the potential of large foundation models in novel scenarios with limited training data.

Image Classification Image Segmentation +2

GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions

no code implementations27 Nov 2023 Jiemin Fang, Junjie Wang, Xiaopeng Zhang, Lingxi Xie, Qi Tian

Specifically, we first extract the region of interest (RoI) corresponding to the text instruction, aligning it to 3D Gaussians.

3D scene Editing

One-bit Supervision for Image Classification: Problem, Solution, and Beyond

no code implementations26 Nov 2023 Hengtong Hu, Lingxi Xie, Xinyue Hue, Richang Hong, Qi Tian

An intriguing property of the setting is that the burden of annotation largely alleviates in comparison to offering the accurate label.

Active Learning Image Classification +2

Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions

1 code implementation23 Nov 2023 Shulin Cao, Jiajie Zhang, Jiaxin Shi, Xin Lv, Zijun Yao, Qi Tian, Juanzi Li, Lei Hou

During reasoning, for leaf nodes, LLMs choose a more confident answer from Closed-book QA that employs parametric knowledge and Open-book QA that employs retrieved external knowledge, thus eliminating the negative retrieval problem.

Retrieval

HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data

1 code implementation22 Nov 2023 Qifan Yu, Juncheng Li, Longhui Wei, Liang Pang, Wentao Ye, Bosheng Qin, Siliang Tang, Qi Tian, Yueting Zhuang

Multi-modal Large Language Models (MLLMs) tuned on machine-generated instruction-following data have demonstrated remarkable performance in various multi-modal understanding and generation tasks.

Attribute counterfactual +3

AiluRus: A Scalable ViT Framework for Dense Prediction

1 code implementation NeurIPS 2023 Jin Li, Yaoming Wang, Xiaopeng Zhang, Bowen Shi, Dongsheng Jiang, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian

Specifically, at the intermediate layer of the ViT, we utilize a spatial-aware density-based clustering algorithm to select representative tokens from the token sequence.

object-detection Object Detection +1

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

1 code implementation12 Oct 2023 Guanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie, Xiaopeng Zhang, Wei Wei, Wenyu Liu, Qi Tian, Xinggang Wang

Representing and rendering dynamic scenes has been an important but challenging task.

Computation-efficient Deep Learning for Computer Vision: A Survey

no code implementations27 Aug 2023 Yulin Wang, Yizeng Han, Chaofei Wang, Shiji Song, Qi Tian, Gao Huang

Over the past decade, deep learning models have exhibited considerable advancements, reaching or even exceeding human-level performance in a range of visual perception tasks.

Autonomous Vehicles Edge-computing +1

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

1 code implementation16 Aug 2023 Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yancheng Luo, Chong Chen, Fuli Feng, Qi Tian

As the focus on Large Language Models (LLMs) in the field of recommendation intensifies, the optimization of LLMs for recommendation purposes (referred to as LLM4Rec) assumes a crucial role in augmenting their effectiveness in providing recommendations.

Collaborative Filtering Recommendation Systems

Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation

1 code implementation ICCV 2023 Shuangrui Ding, Peisen Zhao, Xiaopeng Zhang, Rui Qian, Hongkai Xiong, Qi Tian

Based on the STA score, we are able to progressively prune the tokens without introducing any additional parameters or requiring further re-training.

Video Recognition

Degeneration-Tuning: Using Scrambled Grid shield Unwanted Concepts from Stable Diffusion

no code implementations2 Aug 2023 Zixuan Ni, Longhui Wei, Jiacheng Li, Siliang Tang, Yueting Zhuang, Qi Tian

In this work, we propose a novel strategy named \textbf{Degeneration-Tuning (DT)} to shield contents of unwanted concepts from SD weights.

Human Motion Generation: A Survey

no code implementations20 Jul 2023 Wentao Zhu, Xiaoxuan Ma, Dongwoo Ro, Hai Ci, Jinlu Zhang, Jiaxin Shi, Feng Gao, Qi Tian, Yizhou Wang

In this survey, we present a comprehensive literature review of human motion generation, which, to the best of our knowledge, is the first of its kind in this field.

Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners

no code implementations28 Jun 2023 Bowen Shi, Xiaopeng Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian

In order to better obtain both discrimination and diversity, we propose a simple but effective Hybrid Distillation strategy, which utilizes both the supervised/CL teacher and the MIM teacher to jointly guide the student model.

Contrastive Learning Representation Learning

Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models

no code implementations14 Jun 2023 Lingxi Xie, Longhui Wei, Xiaopeng Zhang, Kaifeng Bi, Xiaotao Gu, Jianlong Chang, Qi Tian

In this paper, we start with a conceptual definition of AGI and briefly review how NLP solves a wide range of tasks via a chat system.

Exploring Effective Mask Sampling Modeling for Neural Image Compression

no code implementations9 Jun 2023 Lin Liu, Mingming Zhao, Shanxin Yuan, Wenlong Lyu, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian

Specifically, Cube Mask Sampling Module (CMSM) is proposed to apply both spatial and channel mask sampling modeling to image compression in the pre-training stage.

Image Compression Self-Supervised Learning

Joint Channel Estimation and Feedback with Masked Token Transformers in Massive MIMO Systems

no code implementations8 Jun 2023 Mingming Zhao, Lin Liu, Lifu Liu, Mengke Li, Qi Tian

To achieve joint channel estimation and feedback, this paper proposes an encoder-decoder based network that unveils the intrinsic frequency-domain correlation within the CSI matrix.

Decoder Denoising

Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering

no code implementations24 May 2023 Jiajie Zhang, Shulin Cao, Tingjia Zhang, Xin Lv, Jiaxin Shi, Qi Tian, Juanzi Li, Lei Hou

To facilitate reasoning, we propose a novel two-stage XQA framework, Reasoning over Hierarchical Question Decomposition Tree (RoHT).

Question Answering

ControlVideo: Training-free Controllable Text-to-Video Generation

1 code implementation22 May 2023 Yabo Zhang, Yuxiang Wei, Dongsheng Jiang, Xiaopeng Zhang, WangMeng Zuo, Qi Tian

Text-driven diffusion models have unlocked unprecedented abilities in image generation, whereas their video counterpart still lags behind due to the excessive training cost of temporal modeling.

Image Generation Text-to-Video Generation +1

Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation

no code implementations18 May 2023 Yuan Zhou, Xin Chen, Yanrong Guo, Shijie Hao, Richang Hong, Qi Tian

Incremental few-shot semantic segmentation (IFSS) aims to incrementally extend a semantic segmentation model to novel classes according to only a few pixel-level annotated data, while preserving its segmentation capability on previously learned base categories.

Few-Shot Semantic Segmentation Incremental Learning +3

Continual Vision-Language Representation Learning with Off-Diagonal Information

no code implementations11 May 2023 Zixuan Ni, Longhui Wei, Siliang Tang, Yueting Zhuang, Qi Tian

Moreover, we empirically and theoretically demonstrate how SD leads to a performance decline for CLIP on cross-modal retrieval tasks.

Continual Learning Contrastive Learning +4

Visual Tuning

no code implementations10 May 2023 Bruce X. B. Yu, Jianlong Chang, Haixin Wang, Lingbo Liu, Shijie Wang, Zhiyu Wang, Junfan Lin, Lingxi Xie, Haojie Li, Zhouchen Lin, Qi Tian, Chang Wen Chen

With the surprising development of pre-trained visual foundation models, visual tuning jumped out of the standard modus operandi that fine-tunes the whole pre-trained model or just the fully connected layer.

Segment Anything in 3D with Radiance Fields

1 code implementation NeurIPS 2023 Jiazhong Cen, Jiemin Fang, Zanwei Zhou, Chen Yang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian

The Segment Anything Model (SAM) emerges as a powerful vision foundation model to generate high-quality 2D segmentation results.

Inverse Rendering Segmentation

Pipeline MoE: A Flexible MoE Implementation with Pipeline Parallelism

no code implementations22 Apr 2023 Xin Chen, Hengheng Zhang, Xiaotao Gu, Kaifeng Bi, Lingxi Xie, Qi Tian

The Mixture of Experts (MoE) model becomes an important choice of large language models nowadays because of its scalability with sublinear computational complexity for training and inference.

SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval

1 code implementation22 Apr 2023 Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Yueyue Wu, Yiqun Liu, Chong Chen, Qi Tian

Moreover, in contrast to the general retrieval, the relevance in the legal domain is sensitive to key legal elements.

Language Modelling Retrieval

Learning Transferable Pedestrian Representation from Multimodal Information Supervision

1 code implementation12 Apr 2023 Liping Bao, Longhui Wei, Xiaoyu Qiu, Wengang Zhou, Houqiang Li, Qi Tian

Recent researches on unsupervised person re-identification~(reID) have demonstrated that pre-training on unlabeled person images achieves superior performance on downstream reID tasks than pre-training on ImageNet.

Attribute Contrastive Learning +3

PSLT: A Light-weight Vision Transformer with Ladder Self-Attention and Progressive Shift

no code implementations7 Apr 2023 Gaojie Wu, Wei-Shi Zheng, Yutong Lu, Qi Tian

In this work, we propose a ladder self-attention block with multiple branches and a progressive shift mechanism to develop a light-weight transformer backbone that requires less computing resources (e. g. a relatively small number of parameters and FLOPs), termed Progressive Shift Ladder Transformer (PSLT).

Image Classification Person Re-Identification

Multi-modal Prompting for Low-Shot Temporal Action Localization

no code implementations21 Mar 2023 Chen Ju, Zeqian Li, Peisen Zhao, Ya zhang, Xiaopeng Zhang, Qi Tian, Yanfeng Wang, Weidi Xie

In this paper, we consider the problem of temporal action localization under low-shot (zero-shot & few-shot) scenario, with the goal of detecting and classifying the action instances from arbitrary categories within some untrimmed videos, even not seen at training time.

Action Classification Temporal Action Localization

LION: Implicit Vision Prompt Tuning

no code implementations17 Mar 2023 Haixin Wang, Jianlong Chang, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian

Despite recent competitive performance across a range of vision tasks, vision Transformers still have an issue of heavy computational costs.

Transfer Learning

Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation

no code implementations ICCV 2023 Xinyue Huo, Lingxi Xie, Wengang Zhou, Houqiang Li, Qi Tian

Currently, a popular UDA framework lies in self-training which endows the model with two-fold abilities: (i) learning reliable semantics from the labeled images in the source domain, and (ii) adapting to the target domain via generating pseudo labels on the unlabeled images.

Semantic Segmentation Unsupervised Domain Adaptation

Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models

no code implementations ICCV 2023 Juncheng Li, Minghe Gao, Longhui Wei, Siliang Tang, Wenqiao Zhang, Mengze Li, Wei Ji, Qi Tian, Tat-Seng Chua, Yueting Zhuang

Prompt tuning, a recently emerging paradigm, enables the powerful vision-language pre-training models to adapt to downstream tasks in a parameter -- and data -- efficient way, by learning the ``soft prompts'' to condition frozen pre-training models.

Domain Generalization Few-Shot Learning +1

Rethinking Visual Prompt Learning as Masked Visual Token Modeling

no code implementations9 Mar 2023 Ning Liao, Bowen Shi, Xiaopeng Zhang, Min Cao, Junchi Yan, Qi Tian

To explore prompt learning on the generative pre-trained visual model, as well as keeping the task consistency, we propose Visual Prompt learning as masked visual Token Modeling (VPTM) to transform the downstream visual classification into the pre-trained masked visual token prediction.

M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios

no code implementations9 Mar 2023 Ning Liao, Xiaopeng Zhang, Min Cao, Junchi Yan, Qi Tian

In realistic open-set scenarios where labels of a part of testing data are totally unknown, when vision-language (VL) prompt learning methods encounter inputs related to unknown classes (i. e., not seen during training), they always predict them as one of the training classes.

Open Set Learning

Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding

no code implementations7 Mar 2023 Jiacheng Li, Longhui Wei, Zongyuan Zhan, Xin He, Siliang Tang, Qi Tian, Yueting Zhuang

To better accelerate the generative transformers while keeping good generation quality, we propose Lformer, a semi-autoregressive text-to-image generation model.

Text-to-Image Generation

Constraint and Union for Partially-Supervised Temporal Sentence Grounding

no code implementations20 Feb 2023 Chen Ju, Haicheng Wang, Jinxiang Liu, Chaofan Ma, Ya zhang, Peisen Zhao, Jianlong Chang, Qi Tian

Temporal sentence grounding aims to detect the event timestamps described by the natural language query from given untrimmed videos.

Sentence Temporal Sentence Grounding

ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories

no code implementations5 Feb 2023 Zijian Zhang, Zhou Zhao, Jun Yu, Qi Tian

In this paper, we propose a novel and flexible conditional diffusion model by introducing conditions into the forward process.

Denoising Image Generation

Federated Domain Generalization With Generalization Adjustment

1 code implementation CVPR 2023 Ruipeng Zhang, Qinwei Xu, Jiangchao Yao, Ya zhang, Qi Tian, Yanfeng Wang

Federated Domain Generalization (FedDG) attempts to learn a global model in a privacy-preserving manner that generalizes well to new clients possibly with domain shift.

Domain Generalization Fairness +1

Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition

1 code implementation CVPR 2023 Yaoming Wang, Bowen Shi, Xiaopeng Zhang, Jin Li, Yuchen Liu, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian

To mitigate the computational and storage demands, recent research has explored Parameter-Efficient Fine-Tuning (PEFT), which focuses on tuning a minimal number of parameters for efficient adaptation.

Open-Set Fine-Grained Retrieval via Prompting Vision-Language Evaluator

no code implementations CVPR 2023 Shijie Wang, Jianlong Chang, Haojie Li, Zhihui Wang, Wanli Ouyang, Qi Tian

PLEor could leverage pre-trained CLIP model to infer the discrepancies encompassing both pre-defined and unknown subcategories, called category-specific discrepancies, and transfer them to the backbone network trained in the close-set scenarios.

Knowledge Distillation Retrieval +1

Prototype-guided Cross-task Knowledge Distillation for Large-scale Models

1 code implementation26 Dec 2022 Deng Li, Aming Wu, Yahong Han, Qi Tian

Considering the complexity and variability of real scene tasks, we propose a Prototype-guided Cross-task Knowledge Distillation (ProC-KD) approach to transfer the intrinsic local-level object knowledge of a large-scale teacher network to various task scenarios.

Knowledge Distillation

FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation

1 code implementation14 Dec 2022 Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya zhang, Qi Tian

However, in addition to previous explorations for improvement in federated averaging, our analysis shows that another critical bottleneck is the poorer optima of client models in more heterogeneous conditions.

Federated Learning

Feature Calibration Network for Occluded Pedestrian Detection

no code implementations12 Dec 2022 Tianliang Zhang, Qixiang Ye, Baochang Zhang, Jianzhuang Liu, Xiaopeng Zhang, Qi Tian

FC-Net is based on the observation that the visible parts of pedestrians are selective and decisive for detection, and is implemented as a self-paced feature learning framework with a self-activation (SA) module and a feature calibration (FC) module.

Pedestrian Detection

ConfounderGAN: Protecting Image Data Privacy with Causal Confounder

no code implementations4 Dec 2022 Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu

The success of deep learning is partly attributed to the availability of massive data downloaded freely from the Internet.

Generative Adversarial Network Image Classification

Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast

3 code implementations3 Nov 2022 Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, Qi Tian

In this paper, we present Pangu-Weather, a deep learning based system for fast and accurate global weather forecast.

Being Comes from Not-being: Open-vocabulary Text-to-Motion Generation with Wordless Training

1 code implementation CVPR 2023 Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang Wen Chen

During inference, instead of changing the motion generator, our method reformulates the input text into a masked motion as the prompt for the motion generator to ``reconstruct'' the motion.

Language Modelling Zero-Shot Learning

End-to-End Context-Aided Unicity Matching for Person Re-identification

no code implementations20 Oct 2022 Min Cao, Cong Ding, Chen Chen, Junchi Yan, Qi Tian

Based on a natural assumption that images belonging to the same person identity should not match with images belonging to multiple different person identities across views, called the unicity of person matching on the identity level, we propose an end-to-end person unicity matching architecture for learning and refining the person matching relations.

Graph Matching Person Re-Identification

Towards a Unified View on Visual Parameter-Efficient Transfer Learning

1 code implementation3 Oct 2022 Bruce X. B. Yu, Jianlong Chang, Lingbo Liu, Qi Tian, Chang Wen Chen

Towards this goal, we propose a framework with a unified view of PETL called visual-PETL (V-PETL) to investigate the effects of different PETL techniques, data scales of downstream domains, positions of trainable parameters, and other aspects affecting the trade-off.

Action Recognition Image Classification +2

Learnable Distribution Calibration for Few-Shot Class-Incremental Learning

no code implementations1 Oct 2022 Binghao Liu, Boyu Yang, Lingxi Xie, Ren Wang, Qi Tian, Qixiang Ye

LDC is built upon a parameterized calibration unit (PCU), which initializes biased distributions for all classes based on classifier vectors (memory-free) and a single covariance matrix.

Few-Shot Class-Incremental Learning Few-Shot Learning +2

Low-Light Video Enhancement with Synthetic Event Guidance

no code implementations23 Aug 2022 Lin Liu, Junfeng An, Jianzhuang Liu, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian

Low-light video enhancement (LLVE) is an important yet challenging task with many applications such as photographing and autonomous driving.

Autonomous Driving Image Enhancement +1

Prompt-Matched Semantic Segmentation

no code implementations22 Aug 2022 Lingbo Liu, Jianlong Chang, Bruce X. B. Yu, Liang Lin, Qi Tian, Chang-Wen Chen

Previous methods usually fine-tuned the entire networks for each specific dataset, which will be burdensome to store massive parameters of these networks.

Representation Learning Segmentation +2

Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos

1 code implementation3 Aug 2022 Juncheng Li, Junlin Xie, Linchao Zhu, Long Qian, Siliang Tang, Wenqiao Zhang, Haochen Shi, Shengyu Zhang, Longhui Wei, Qi Tian, Yueting Zhuang

In this paper, we introduce a new task, named Temporal Emotion Localization in videos~(TEL), which aims to detect human emotions and localize their corresponding temporal boundaries in untrimmed videos with aligned subtitles.

Emotion Classification Temporal Action Localization +1

SdAE: Self-distillated Masked Autoencoder

1 code implementation31 Jul 2022 Yabo Chen, Yuchen Liu, Dongsheng Jiang, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong, Qi Tian

We also analyze how to build good views for the teacher branch to produce latent representation from the perspective of information bottleneck.

Descriptive Self-Supervised Learning

Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction

1 code implementation31 Jul 2022 Maosen Li, Siheng Chen, Zijing Zhang, Lingxi Xie, Qi Tian, Ya zhang

To address the first issue, we propose adaptive graph scattering, which leverages multiple trainable band-pass graph filters to decompose pose features into richer graph spectrum bands.

Human motion prediction motion prediction

Fine-grained Retrieval Prompt Tuning

no code implementations29 Jul 2022 Shijie Wang, Jianlong Chang, Zhihui Wang, Haojie Li, Wanli Ouyang, Qi Tian

In this paper, we develop Fine-grained Retrieval Prompt Tuning (FRPT), which steers a frozen pre-trained model to perform the fine-grained retrieval task from the perspectives of sample prompting and feature adaptation.

Retrieval

Visual Recognition by Request

1 code implementation CVPR 2023 Chufeng Tang, Lingxi Xie, Xiaopeng Zhang, Xiaolin Hu, Qi Tian

Humans have the ability of recognizing visual semantics in an unlimited granularity, but existing visual recognition algorithms cannot achieve this goal.

Instance Segmentation Semantic Segmentation

Pro-tuning: Unified Prompt Tuning for Vision Tasks

no code implementations28 Jul 2022 Xing Nie, Bolin Ni, Jianlong Chang, Gaomeng Meng, Chunlei Huo, Zhaoxiang Zhang, Shiming Xiang, Qi Tian, Chunhong Pan

To this end, we propose parameter-efficient Prompt tuning (Pro-tuning) to adapt frozen vision models to various downstream vision tasks.

Adversarial Robustness Image Classification +4

Active Pointly-Supervised Instance Segmentation

1 code implementation23 Jul 2022 Chufeng Tang, Lingxi Xie, Gang Zhang, Xiaopeng Zhang, Qi Tian, Xiaolin Hu

In this paper, we present an economic active learning setting, named active pointly-supervised instance segmentation (APIS), which starts with box-level annotations and iteratively samples a point within the box and asks if it falls on the object.

Active Learning Instance Segmentation +2

Entity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding

1 code implementation18 Jul 2022 Xuejing Liu, Liang Li, Shuhui Wang, Zheng-Jun Zha, Zechao Li, Qi Tian, Qingming Huang

Second, most previous weakly supervised REG methods ignore the discriminative location and context of the referent, causing difficulties in distinguishing the target from other same-category objects.

Attribute Referring Expression +2

A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction

no code implementations4 Jul 2022 Wei Shen, Zelin Peng, Xuehui Wang, Huayu Wang, Jiazhong Cen, Dongsheng Jiang, Lingxi Xie, Xiaokang Yang, Qi Tian

Next, we summarize the existing label-efficient image segmentation methods from a unified perspective that discusses an important question: how to bridge the gap between weak supervision and dense prediction -- the current methods are mostly based on heuristic priors, such as cross-pixel similarity, cross-label constraint, cross-view consistency, and cross-image relation.

Image Segmentation Instance Segmentation +2

Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition

1 code implementation1 Jul 2022 Mingkun Yang, Minghui Liao, Pu Lu, Jing Wang, Shenggao Zhu, Hualin Luo, Qi Tian, Xiang Bai

Inspired by the observation that humans learn to recognize the texts through both reading and writing, we propose to learn discrimination and generation by integrating contrastive learning and masked image modeling in our self-supervised method.

Contrastive Learning Scene Text Recognition

Towards Generalizable Person Re-identification with a Bi-stream Generative Model

no code implementations19 Jun 2022 Xin Xu, Wei Liu, Zheng Wang, Ruiming Hu, Qi Tian

Guided by original pedestrian images, one stream is employed to learn a camera-invariant global feature for the CC problem via filtering cross-camera interference factors.

Domain Generalization Generalizable Person Re-identification

Masked Autoencoders are Robust Data Augmentors

1 code implementation10 Jun 2022 Haohang Xu, Shuangrui Ding, Xiaopeng Zhang, Hongkai Xiong, Qi Tian

Specifically, MRA consistently enhances the performance on supervised, semi-supervised as well as few-shot classification.

Image Augmentation Image Classification +1

DE-Net: Dynamic Text-guided Image Editing Adversarial Networks

1 code implementation2 Jun 2022 Ming Tao, Bing-Kun Bao, Hao Tang, Fei Wu, Longhui Wei, Qi Tian

To solve these limitations, we propose: (i) a Dynamic Editing Block (DEBlock) which composes different editing modules dynamically for various editing requirements.

text-guided-image-editing

Fast Dynamic Radiance Fields with Time-Aware Neural Voxels

1 code implementation30 May 2022 Jiemin Fang, Taoran Yi, Xinggang Wang, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Matthias Nießner, Qi Tian

A multi-distance interpolation method is proposed and applied on voxel features to model both small and large motions.

HiViT: Hierarchical Vision Transformer Meets Masked Image Modeling

1 code implementation30 May 2022 Xiaosong Zhang, Yunjie Tian, Wei Huang, Qixiang Ye, Qi Dai, Lingxi Xie, Qi Tian

A key idea of efficient implementation is to discard the masked image patches (or tokens) throughout the target network (encoder), which requires the encoder to be a plain vision transformer (e. g., ViT), albeit hierarchical vision transformers (e. g., Swin Transformer) have potentially better properties in formulating vision inputs.

Transfer Learning

GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation

1 code implementation24 May 2022 Lunyiu Nie, Shulin Cao, Jiaxin Shi, Jiuding Sun, Qi Tian, Lei Hou, Juanzi Li, Jidong Zhai

Subject to the huge semantic gap between natural and formal languages, neural semantic parsing is typically bottlenecked by its complexity of dealing with both input semantics and output syntax.

Few-Shot Learning Semantic Parsing

HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval

no code implementations24 May 2022 Feilong Chen, Xiuyi Chen, Jiaxin Shi, Duzhen Zhang, Jianlong Chang, Qi Tian

It also achieves about +4. 9 AR on COCO and +3. 8 AR on Flickr30K than LightingDot and achieves comparable performance with the state-of-the-art (SOTA) fusion-based model METER.

Cross-Modal Retrieval Retrieval +1

CenterNet++ for Object Detection

2 code implementations18 Apr 2022 Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, Qi Tian

Our approach, named CenterNet, detects each object as a triplet keypoints (top-left and bottom-right corners and the center keypoint).

Object object-detection +1

HyperDet3D: Learning a Scene-conditioned 3D Object Detector

no code implementations CVPR 2022 Yu Zheng, Yueqi Duan, Jiwen Lu, Jie zhou, Qi Tian

A bathtub in a library, a sink in an office, a bed in a laundry room -- the counter-intuition suggests that scene provides important prior knowledge for 3D object detection, which instructs to eliminate the ambiguous detection of similar objects.

3D Object Detection Object +1

DATA: Domain-Aware and Task-Aware Self-supervised Learning

1 code implementation CVPR 2022 Qing Chang, Junran Peng, Lingxie Xie, Jiajun Sun, Haoran Yin, Qi Tian, Zhaoxiang Zhang

However, due to the high training costs and the unconsciousness of downstream usages, most self-supervised learning methods lack the capability to correspond to the diversities of downstream scenarios, as there are various data domains, different vision tasks and latency constraints on models.

Image Classification Model Selection +5

Deep Class Incremental Learning from Decentralized Data

no code implementations11 Mar 2022 Xiaohan Zhang, Songlin Dong, Jinjie Chen, Qi Tian, Yihong Gong, Xiaopeng Hong

In this paper, we focus on a new and challenging decentralized machine learning paradigm in which there are continuous inflows of data to be addressed and the data are stored in multiple repositories.

Class Incremental Learning Incremental Learning +1

MVP: Multimodality-guided Visual Pre-training

no code implementations10 Mar 2022 Longhui Wei, Lingxi Xie, Wengang Zhou, Houqiang Li, Qi Tian

Recently, masked image modeling (MIM) has become a promising direction for visual pre-training.

Language Modelling

The KFIoU Loss for Rotated Object Detection

3 code implementations29 Jan 2022 Xue Yang, Yue Zhou, Gefan Zhang, Jirui Yang, Wentao Wang, Junchi Yan, Xiaopeng Zhang, Qi Tian

This is in contrast to recent Gaussian modeling based rotation detectors e. g. GWD loss and KLD loss that involve a human-specified distribution distance metric which require additional hyperparameter tuning that vary across datasets and detectors.

Object object-detection +1

GhostNets on Heterogeneous Devices via Cheap Operations

8 code implementations10 Jan 2022 Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian

The proposed C-Ghost module can be taken as a plug-and-play component to upgrade existing convolutional neural networks.

Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross-Modal Denoising Networks

1 code implementation CVPR 2022 Wenwen Pan, Haonan Shi, Zhou Zhao, Jieming Zhu, Xiuqiang He, Zhigeng Pan, Lianli Gao, Jun Yu, Fei Wu, Qi Tian

Audio-Guided video semantic segmentation is a challenging problem in visual analysis and editing, which automatically separates foreground objects from background in a video sequence according to the referring audio expressions.

Decoder Denoising +4

DeeCap: Dynamic Early Exiting for Efficient Image Captioning

1 code implementation CVPR 2022 Zhengcong Fei, Xu Yan, Shuhui Wang, Qi Tian

On one hand, the representation in shallow layers lacks high-level semantic and sufficient cross-modal fusion information for accurate prediction.

Image Captioning Imitation Learning

One-Bit Active Query With Contrastive Pairs

no code implementations CVPR 2022 Yuhang Zhang, Xiaopeng Zhang, Lingxi Xie, Jie Li, Robert C. Qiu, Hengtong Hu, Qi Tian

The Yes query is treated as positive pairs of the queried category for contrastive pulling, while the No query is treated as hard negative pairs for contrastive repelling.

Active Learning Contrastive Learning

Partial Class Activation Attention for Semantic Segmentation

1 code implementation CVPR 2022 Sun-Ao Liu, Hongtao Xie, Hai Xu, Yongdong Zhang, Qi Tian

Current attention-based methods for semantic segmentation mainly model pixel relation through pairwise affinity and coarse segmentation.

Relation Segmentation +1

Contextual Similarity Distillation for Asymmetric Image Retrieval

no code implementations CVPR 2022 Hui Wu, Min Wang, Wengang Zhou, Houqiang Li, Qi Tian

To this end, we propose a flexible contextual similarity distillation framework to enhance the small query model and keep its output feature compatible with that of large gallery model, which is crucial with asymmetric retrieval.

Image Retrieval Retrieval

Learning To Learn by Jointly Optimizing Neural Architecture and Weights

no code implementations CVPR 2022 Yadong Ding, Yu Wu, Chengyue Huang, Siliang Tang, Yi Yang, Longhui Wei, Yueting Zhuang, Qi Tian

Existing NAS-based meta-learning methods apply a two-stage strategy, i. e., first searching architectures and then re-training meta-weights on the searched architecture.

Meta-Learning

General Greedy De-bias Learning

1 code implementation20 Dec 2021 Xinzhe Han, Shuhui Wang, Chi Su, Qingming Huang, Qi Tian

Existing de-bias learning frameworks try to capture specific dataset bias by annotations but they fail to handle complicated OOD scenarios.

Image Classification Question Answering +1

SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers

no code implementations17 Dec 2021 Lin Liu, Shanxin Yuan, Jianzhuang Liu, Xin Guo, Youliang Yan, Qi Tian

For zero-shot image restoration, we design a novel model, termed SiamTrans, which is constructed by Siamese transformers, encoders, and decoders.

Denoising Image Restoration +1

Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection

no code implementations16 Dec 2021 Rui Liu, Yahong Han, YaoWei Wang, Qi Tian

In the second stage, augmented source and target data with pseudo labels are adopted to perform the self-training for prediction consistency.

Object object-detection +1

Mining Minority-class Examples With Uncertainty Estimates

no code implementations15 Dec 2021 Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang

In the real world, the frequency of occurrence of objects is naturally skewed forming long-tail class distributions, which results in poor performance on the statistically rare classes.

Exploring Complicated Search Spaces with Interleaving-Free Sampling

no code implementations5 Dec 2021 Yunjie Tian, Lingxi Xie, Jiemin Fang, Jianbin Jiao, Qixiang Ye, Qi Tian

In this paper, we build the search algorithm upon a complicated search space with long-distance connections, and show that existing weight-sharing search algorithms mostly fail due to the existence of \textbf{interleaved connections}.

Neural Architecture Search

NeuSample: Neural Sample Field for Efficient View Synthesis

1 code implementation30 Nov 2021 Jiemin Fang, Lingxi Xie, Xinggang Wang, Xiaopeng Zhang, Wenyu Liu, Qi Tian

Neural radiance fields (NeRF) have shown great potentials in representing 3D scenes and synthesizing novel views, but the computational overhead of NeRF at the inference stage is still heavy.

Semantic-Aware Generation for Self-Supervised Visual Representation Learning

1 code implementation25 Nov 2021 Yunjie Tian, Lingxi Xie, Xiaopeng Zhang, Jiemin Fang, Haohang Xu, Wei Huang, Jianbin Jiao, Qi Tian, Qixiang Ye

In this paper, we propose a self-supervised visual representation learning approach which involves both generative and discriminative proxies, where we focus on the former part by requiring the target network to recover the original image based on the mid-level features.

Representation Learning Semantic Segmentation

Consensus Synergizes with Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes

no code implementations24 Nov 2021 Jiazhong Cen, Zenkun Jiang, Lingxi Xie, Qi Tian, Xiaokang Yang, Wei Shen

Anomaly segmentation is a crucial task for safety-critical applications, such as autonomous driving in urban scenes, where the goal is to detect out-of-distribution (OOD) objects with categories which are unseen during training.

Anomaly Detection Autonomous Driving +1

DVCFlow: Modeling Information Flow Towards Human-like Video Captioning

no code implementations19 Nov 2021 Xu Yan, Zhengcong Fei, Shuhui Wang, Qingming Huang, Qi Tian

Dense video captioning (DVC) aims to generate multi-sentence descriptions to elucidate the multiple events in the video, which is challenging and demands visual consistency, discoursal coherence, and linguistic diversity.

Dense Video Captioning Sentence

DocScanner: Robust Document Image Rectification with Progressive Learning

3 code implementations28 Oct 2021 Hao Feng, Wengang Zhou, Jiajun Deng, Qi Tian, Houqiang Li

The iterative refinements make DocScanner converge to a robust and superior rectification performance, while the lightweight recurrent architecture ensures the running efficiency.

Optical Character Recognition (OCR)

CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis

1 code implementation19 Oct 2021 Peng Zhou, Lingxi Xie, Bingbing Ni, Qi Tian

The style-based GAN (StyleGAN) architecture achieved state-of-the-art results for generating high-quality images, but it lacks explicit and precise control over camera poses.

3D-Aware Image Synthesis Transfer Learning

Semi-Autoregressive Image Captioning

1 code implementation11 Oct 2021 Xu Yan, Zhengcong Fei, Zekang Li, Shuhui Wang, Qingming Huang, Qi Tian

Non-autoregressive image captioning with continuous iterative refinement, which eliminates the sequential dependence in a sentence generation, can achieve comparable performance to the autoregressive counterparts with a considerable acceleration.

Decoder Image Captioning +1

Vibration-based Uncertainty Estimation for Learning from Limited Supervision

no code implementations29 Sep 2021 Hengtong Hu, Lingxi Xie, Yinquan Wang, Richang Hong, Meng Wang, Qi Tian

We investigate the problem of estimating uncertainty for training data, so that deep neural networks can make use of the results for learning from limited supervision.

Active Learning

Deep Encryption: Protecting Pre-Trained Neural Networks with Confusion Neurons

no code implementations29 Sep 2021 Mengbiao Zhao, Shixiong Xu, Jianlong Chang, Lingxi Xie, Jie Chen, Qi Tian

Having consumed huge amounts of training data and computational resource, large-scale pre-trained models are often considered key assets of AI service providers.

Position

Differentiable Convolution Search for Point Cloud Processing

no code implementations ICCV 2021 Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan

It can work in a purely data-driven manner and thus is capable of auto-creating a group of suitable convolutions for geometric shape modeling.

Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction

no code implementations25 Aug 2021 Maosen Li, Siheng Chen, Yangheng Zhao, Ya zhang, Yanfeng Wang, Qi Tian

The core of MST-GNN is a multiscale spatio-temporal graph that explicitly models the relations in motions at various spatial and temporal scales.

Decoder motion prediction

Pixel Difference Networks for Efficient Edge Detection

2 code implementations ICCV 2021 Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu

A faster version of PiDiNet with less than 0. 1M parameters can still achieve comparable performance among state of the arts with 200 FPS.

Edge Detection

Greedy Gradient Ensemble for Robust Visual Question Answering

1 code implementation ICCV 2021 Xinzhe Han, Shuhui Wang, Chi Su, Qingming Huang, Qi Tian

Language bias is a critical issue in Visual Question Answering (VQA), where models often exploit dataset biases for the final decision without considering the image information.

Question Answering Visual Question Answering

Revisiting Catastrophic Forgetting in Class Incremental Learning

no code implementations26 Jul 2021 Zixuan Ni, Haizhou Shi, Siliang Tang, Longhui Wei, Qi Tian, Yueting Zhuang

After investigating existing strategies, we observe that there is a lack of study on how to prevent the inter-phase confusion.

Class Incremental Learning Contrastive Learning +2

Domain Adaptation without Model Transferring

no code implementations21 Jul 2021 Kunhong Wu, Yucheng Shi, Yahong Han, Yunfeng Shao, Bingshuai Li, Qi Tian

Existing unsupervised domain adaptation (UDA) methods can achieve promising performance without transferring data from source domain to target domain.

Unsupervised Domain Adaptation

Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation

1 code implementation13 Jul 2021 Shuhao Cui, Shuhui Wang, Junbao Zhuo, Liang Li, Qingming Huang, Qi Tian

Due to the domain discrepancy in visual domain adaptation, the performance of source model degrades when bumping into the high data density near decision boundary in target domain.

Domain Adaptation

Bag of Instances Aggregation Boosts Self-supervised Distillation

1 code implementation ICLR 2022 Haohang Xu, Jiemin Fang, Xiaopeng Zhang, Lingxi Xie, Xinggang Wang, Wenrui Dai, Hongkai Xiong, Qi Tian

Here bag of instances indicates a set of similar samples constructed by the teacher and are grouped within a bag, and the goal of distillation is to aggregate compact representations over the student with respect to instances in a bag.

Contrastive Learning Linear evaluation +1

ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation

no code implementations CVPR 2021 Xinyue Huo, Lingxi Xie, Jianzhong He, Zijie Yang, Wengang Zhou, Houqiang Li, Qi Tian

Semi-supervised learning is a useful tool for image segmentation, mainly due to its ability in extracting knowledge from unlabeled data to assist learning from labeled data.

Continual Learning Image Segmentation +3

Multi-dataset Pretraining: A Unified Model for Semantic Segmentation

no code implementations8 Jun 2021 Bowen Shi, Xiaopeng Zhang, Haohang Xu, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian

This is achieved by first pretraining the network via the proposed pixel-to-prototype contrastive loss over multiple datasets regardless of their taxonomy labels, and followed by fine-tuning the pretrained model over specific dataset as usual.

Semantic Segmentation

Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence

2 code implementations NeurIPS 2021 Xue Yang, Xiaojiang Yang, Jirui Yang, Qi Ming, Wentao Wang, Qi Tian, Junchi Yan

Taking the perspective that horizontal detection is a special case for rotated object detection, in this paper, we are motivated to change the design of rotation regression loss from induction paradigm to deduction methodology, in terms of the relation between rotation and horizontal detection.

Ranked #14 on Object Detection In Aerial Images on DOTA (using extra training data)

object-detection Object Detection In Aerial Images +1

Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task

no code implementations1 Jun 2021 Longhui Wei, Lingxi Xie, Wengang Zhou, Houqiang Li, Qi Tian

By simply pulling the different augmented views of each image together or other novel mechanisms, they can learn much unsupervised knowledge and significantly improve the transfer performance of pre-training models.

Self-Supervised Learning

Large-Scale Spatio-Temporal Person Re-identification: Algorithms and Benchmark

2 code implementations31 May 2021 Xiujun Shu, Xiao Wang, Xianghao Zang, Shiliang Zhang, Yuanqi Chen, Ge Li, Qi Tian

We also verified that models pre-trained on LaST can generalize well on existing datasets with short-term and cloth-changing scenarios.

Person Re-Identification

Analysis and Applications of Class-wise Robustness in Adversarial Training

no code implementations29 May 2021 Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang

Adversarial training is one of the most effective approaches to improve model robustness against adversarial examples.

A Fourier-based Framework for Domain Generalization

1 code implementation CVPR 2021 Qinwei Xu, Ruipeng Zhang, Ya zhang, Yanfeng Wang, Qi Tian

Modern deep neural networks suffer from performance degradation when evaluated on testing data under different distributions from training data.

Data Augmentation Domain Generalization

Visformer: The Vision-friendly Transformer

5 code implementations ICCV 2021 Zhengsu Chen, Lingxi Xie, Jianwei Niu, Xuefeng Liu, Longhui Wei, Qi Tian

The past year has witnessed the rapid development of applying the Transformer module to vision problems.

Image Classification

Location-Sensitive Visual Recognition with Cross-IOU Loss

1 code implementation11 Apr 2021 Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, Qi Tian

Object detection, instance segmentation, and pose estimation are popular visual recognition tasks which require localizing the object by internal or boundary landmarks.

2D Human Pose Estimation Instance Segmentation +5

Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization

no code implementations6 Apr 2021 Chen Ju, Peisen Zhao, Siheng Chen, Ya zhang, Xiaoyun Zhang, Qi Tian

To solve this issue, we introduce an adaptive mutual supervision framework (AMS) with two branches, where the base branch adopts CAS to localize the most discriminative action regions, while the supplementary branch localizes the less discriminative action regions through a novel adaptive sampler.

Weakly Supervised Action Localization Weakly-supervised Temporal Action Localization +1