2.4k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nana Liu4 profiles10 · h 14
- Wanli Ouyang3 profiles7 · h 100
- Shaoting Zhang3 profiles6 · h 48
- Wenwei Zhang2 profiles6 · h 24
- Guotai Wang2 profiles5 · h 30
- Jifeng Dai2 profiles5 · h 66
- Lewei Lu5 · h 32
- Shi Jin3 profiles5 · h 49
- Wenhai Wang2 profiles5 · h 34
- Xizhou Zhu5 · h 48
- Yu Qiao2 profiles5 · h 21
- Zhengxia Zou5 · h 42
- Beijing Academy of Artificial IntelligenceCN102 papers
- Shanghai Jiao Tong UniversityCN46 papers
- Chinese University of Hong KongHK26 papers
- Tsinghua UniversityCN25 papers
- Fudan UniversityCN21 papers
- Group Sense (China)CN17 papers
- Northwestern Polytechnical UniversityCN14 papers
- ShangHai JiAi Genetics & IVF InstituteCN14 papers
- University of Science and Technology of ChinaCN14 papers
- University of Hong KongHK13 papers
- Peking UniversityCN11 papers
- Tongji UniversityCN11 papers
20 papers · 2 filters
TMP: Temporal Motion Propagation for Online Video Super-Resolution
Zhengqiang Zhang, Ruihuang Li, Shi Guo +2
Online video super-resolution (online-VSR) highly relies on an effective alignment module to aggregate temporal information, while the strict latency requirement makes accurate and…
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving
Erfei Cui, Wenhai Wang, Zhiqi Li +7
Large language models (LLMs) have opened up new possibilities for intelligent agents, endowing them with human-like thinking and cognitive abilities. In this work, we delve into th…
Hulk: A Universal Knowledge Translator for Human-Centric Tasks
Yizhou Wang, Yixuan Wu, Weizhen He +8
Human-centric perception tasks, e.g., pedestrian detection, skeleton-based action recognition, and pose estimation, have wide industrial applications, such as metaverse and sports…
CAMEL2: Enhancing weakly supervised learning for histopathology images by incorporating the significance ratio
Gang Xu, Shuhao Wang, Lingyu Zhao +12
Histopathology image analysis plays a crucial role in cancer diagnosis. However, training a clinically applicable segmentation algorithm requires pathologists to engage in labour-i…
Open-Vocabulary Animal Keypoint Detection with Semantic-feature Matching
Hao Zhang, Lumin Xu, Shenqi Lai +5
Current image-based keypoint detection methods for animal (including human) bodies and faces are generally divided into full-supervised and few-shot class-agnostic approaches. The…
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation
Jianghao Wu, Guotai Wang, Ran Gu +6
Domain Adaptation (DA) is important for deep learning-based medical image segmentation models to deal with testing images from a new target domain. As the source-domain data are us…
Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for Instance-Free One-Stage Detectors
Yancheng Cai, Bo Zhang, Baopu Li +4
Cross-domain pedestrian detection aims to generalize pedestrian detectors from one label-rich domain to another label-scarce domain, which is crucial for various real-world applica…
Zero-Shot Scene Graph Generation via Triplet Calibration and Reduction
Jiankai Li, Yunhong Wang, Weixin Li
Scene Graph Generation (SGG) plays a pivotal role in downstream vision-language tasks. Existing SGG methods typically suffer from poor compositional generalizations on unseen tripl…
Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization
Yujie Zhou, Wenwen Qiang, Anyi Rao +3
Zero-shot skeleton-based action recognition aims to recognize actions of unseen categories after training on data of seen categories. The key is to build the connection between vis…
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation
Yuxin Mao, Jing Zhang, Mochu Xiang +4
We propose a contrastive conditional latent diffusion model for audio-visual segmentation (AVS) to thoroughly investigate the impact of audio, where the correlation between audio a…
Hierarchical Matching and Reasoning for Multi-Query Image Retrieval
Zhong Ji, Zhihao Li, Yan Zhang +3
As a promising field, Multi-Query Image Retrieval (MQIR) aims at searching for the semantically relevant image given multiple region-specific text queries. Existing works mainly fo…
UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation
Jia Fu, Tao Lu, Shaoting Zhang +1
Accurate segmentation of the fetal brain from Magnetic Resonance Image (MRI) is important for prenatal assessment of fetal development. Although deep learning has shown the potenti…
Continuous Cross-resolution Remote Sensing Image Change Detection
Hao Chen, Haotian Zhang, Keyan Chen +4
Most contemporary supervised Remote Sensing (RS) image Change Detection (CD) approaches are customized for equal-resolution bitemporal images. Real-world applications raise the nee…
A Closer Look at Few-Shot 3D Point Cloud Classification
Chuangguan Ye, Hongyuan Zhu, Bo Zhang +1
In recent years, research on few-shot learning (FSL) has been fast-growing in the 2D image domain due to the less requirement for labeled training data and greater generalization f…
Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation
Zipeng Qi, Hao Chen, Chenyang Liu +2
The mainstream CNN-based remote sensing (RS) image semantic segmentation approaches typically rely on massive labeled training data. Such a paradigm struggles with the problem of R…
ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection
Ying Zeng, Yushi Chen, Xue Yang +2
Existing oriented object detection methods commonly use metric AP to measure the performance of the model. We argue that AP is inherently unsuitable for oriented obje…
Dense Pixel-to-Pixel Harmonization via Continuous Image Representation
Jianqi Chen, Yilan Zhang, Zhengxia Zou +2
High-resolution (HR) image harmonization is of great significance in real-world applications such as image synthesis and image editing. However, due to the high memory costs, exist…
Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences
Yujie Zhou, Haodong Duan, Anyi Rao +2
Self-supervised learning has demonstrated remarkable capability in representation learning for skeleton-based action recognition. Existing methods mainly focus on applying global d…
Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function Space
Keyan Chen, Wenyuan Li, Sen Lei +4
Despite its fruitful applications in remote sensing, image super-resolution is troublesome to train and deploy as it handles different resolution magnifications with separate model…
Deep Intra-Image Contrastive Learning for Weakly Supervised One-Step Person Search
Jiabei Wang, Yanwei Pang, Jiale Cao +3
Weakly supervised person search aims to perform joint pedestrian detection and re-identification (re-id) with only person bounding-box annotations. Recently, the idea of contrastiv…