3.6k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN16 papers
- Mohamed bin Zayed University of Artificial IntelligenceAE16 papers
- Nankai UniversityCN16 papers
- ETH ZurichCH12 papers
- Tianjin UniversityCN12 papers
- University of Electronic Science and Technology of ChinaCN11 papers
- Southern University of Science and TechnologyCN9 papers
- University of AmsterdamNL9 papers
- Beijing Institute of TechnologyCN8 papers
- Wuhan UniversityCN8 papers
- Australian National UniversityAU7 papers
- Harbin Institute of TechnologyCN7 papers
100 papers · 1 filter
T-MLA: A targeted multiscale log-exponential attack framework for neural image compression
Nikolay I. Kalmykov, Razan Dibo, Kaiyu Shen +4
Neural image compression (NIC) has become the state-of-the-art for rate-distortion performance, yet its security vulnerabilities remain significantly less understood than those of…
ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection
Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang +2
Recent camouflaged object detection (COD) attempts to segment objects visually blended into their surroundings, which is extremely complex and difficult in real-world scenarios. Ap…
Adaptive Siamese Tracking with a Compact Latent Network
Xingping Dong, Jianbing Shen, Fatih Porikli +2
In this paper, we provide an intuitive viewing to simplify the Siamese-based trackers by converting the tracking task to a classification. Under this viewing, we perform an in-dept…
Trichomonas Vaginalis Segmentation in Microscope Images
Lin Li, Jingyi Liu, Shuo Wang +2
Trichomoniasis is a common infectious disease with high incidence caused by the parasite Trichomonas vaginalis, increasing the risk of getting HIV in humans if left untreated. Auto…
Boundary-Guided Camouflaged Object Detection
Yujia Sun, Shuo Wang, Chenglizhao Chen +1
Camouflaged object detection (COD), segmenting objects that are elegantly blended into their surroundings, is a valuable yet challenging task. Existing deep-learning methods often…
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification
Yichao Yan, Junjie Li, Shengcai Liao +3
Domain generalizable person re-identification aims to apply a trained model to unseen domains. Prior works either combine the data in all the training domains to capture domain-inv…
Full-Duplex Strategy for Video Object Segmentation
Ge-Peng Ji, Deng-Ping Fan, Keren Fu +3
Previous video object segmentation approaches mainly focus on using simplex solutions between appearance and motion, limiting feature collaboration efficiency among and across thes…
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder
Jiale Li, Hang Dai, Ling Shao +1
In this paper, we present an Intersection-over-Union (IoU) guided two-stage 3D object detector with a voxel-to-point decoder. To preserve the necessary information from all raw poi…
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud
Jiale Li, Hang Dai, Ling Shao +1
Most of the existing single-stage and two-stage 3D object detectors are anchor-based methods, while the efficient but challenging anchor-free single-stage 3D object detection is no…
From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data
Ye Liu, Lei Zhu, Shunda Pei +5
Single image dehazing is a challenging task, for which the domain shift between synthetic training data and real-world testing images usually leads to degradation of existing metho…
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D Salient Object Detection
Wenbo Zhang, Ge-Peng Ji, Zhuo Wang +2
RGB-D salient object detection (SOD) recently has attracted increasing research interest by benefiting conventional RGB SOD with extra depth information. However, existing RGB-D SO…
AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection
Hongsong Wang, Shengcai Liao, Ling Shao
Unsupervised domain adaptation for object detection is a challenging problem with many real-world applications. Unfortunately, it has received much less attention than supervised o…
PVT v2: Improved Baselines with Pyramid Vision Transformer
Wenhai Wang, Enze Xie, Xiang Li +6
Transformer recently has presented encouraging progress in computer vision. In this work, we present new baselines by improving the original Pyramid Vision Transformer (PVT v1) by…
Context-aware Cross-level Fusion Network for Camouflaged Object Detection
Yujia Sun, Geng Chen, Tao Zhou +2
Camouflaged object detection (COD) is a challenging task due to the low boundary contrast between the object and its surroundings. In addition, the appearance of camouflaged object…
Progressively Normalized Self-Attention Network for Video Polyp Segmentation
Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan +4
Existing video polyp segmentation (VPS) models typically employ convolutional neural networks (CNNs) to extract features. However, due to their limited receptive fields, CNNs can n…
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
Yichao Yan, Jie Qin1, Jiaxin Chen +4
Video-based person re-identification (re-ID) is an important research topic in computer vision. The key to tackling the challenging task is to exploit both spatial and temporal clu…
Learning Multi-Attention Context Graph for Group-Based Re-Identification
Yichao Yan, Jie Qin, Bingbing Ni +6
Learning to re-identify or retrieve a group of people across non-overlapped camera systems has important applications in video surveillance. However, most existing methods focus on…
Anchor-Free Person Search
Yichao Yan, Jinpeng Li, Jie Qin +5
Person search aims to simultaneously localize and identify a query person from realistic, uncropped images, which can be regarded as the unified task of pedestrian detection and pe…
Multi-Stage Progressive Image Restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan +4
Image restoration tasks demand a complex balance between spatial details and high-level contextualized information while recovering images. In this paper, we propose a novel synerg…
Triple-cooperative Video Shadow Detection
Zhihao Chen, Liang Wan, Lei Zhu +4
Shadow detection in a single image has received significant research interest in recent years. However, much fewer works have been explored in shadow detection over dynamic scenes.…
Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration
Hong-Bo Bi, Zi-Qi Liu, Kang Wang +3
Saliency detection based on the complementary information from RGB images and depth maps has recently gained great popularity. In this paper, we propose Complementary Attention and…
Concealed Object Detection
Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng +1
We present the first systematic study on concealed object detection (COD), which aims to identify objects that are "perfectly" embedded in their background. The high intrinsic simi…
GMLight: Lighting Estimation via Geometric Distribution Approximation
Fangneng Zhan, Yingchen Yu, Changgong Zhang +6
Inferring the scene illumination from a single image is an essential yet challenging task in computer vision and computer graphics. Existing works estimate lighting by regressing r…
Deep Triplet Hashing Network for Case-based Medical Image Retrieval
Jiansheng Fang, Huazhu Fu, Jiang Liu
Deep hashing methods have been shown to be the most efficient approximate nearest neighbor search techniques for large-scale image retrieval. However, existing deep hashing methods…