207 citations · 1.2k across the 34 of their papers we have counts for
35 papers
UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather
Haimei Zhao, Jing Zhang, Zhuo Chen +2
LiDAR semantic segmentation (LSS) is a critical task in autonomous driving and has achieved promising progress. However, prior LSS methods are conventionally investigated and evalu…
HandRefiner: Refining Malformed Hands in Generated Images by Diffusion-based Conditional Inpainting
Wenquan Lu, Yufei Xu, Jing Zhang +2
Diffusion models have achieved remarkable success in generating realistic images but suffer from generating accurate human hands, such as incorrect finger counts or irregular shape…
Unified Domain Adaptive Semantic Segmentation
Zhe Zhang, Gaochang Wu, Jing Zhang +3
Unsupervised Domain Adaptive Semantic Segmentation (UDA-SS) aims to transfer the supervision from a labeled source domain to an unlabeled target domain. The majority of existing UD…
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking
Yuxiang Yang, Junjie Yang, Yufei Xu +3
Animal pose estimation and tracking (APT) is a fundamental task for detecting and tracking animal keypoints from a sequence of video frames. Previous animal-related datasets focus…
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond
Qiming Zhang, Yufei Xu, Jing Zhang +1
Vision transformers have shown great potential in various computer vision tasks owing to their strong capability to model long-range dependency using the self-attention mechanism.…
SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection
Chen Chen, Zhe Chen, Jing Zhang +1
Although point-based networks are demonstrated to be accurate for 3D point cloud modeling, they are still falling behind their voxel-based competitors in 3D detection. We observe t…
Siamese Network with Interactive Transformer for Video Object Segmentation
Meng Lan, Jing Zhang, Fengxiang He +1
Semi-supervised video object segmentation (VOS) refers to segmenting the target object in remaining frames given its annotation in the first frame, which has been actively studied…
Recurrent Glimpse-based Decoder for Detection with Transformer
Zhe Chen, Jing Zhang, Dacheng Tao
Although detection with Transformer (DETR) is increasingly popular, its global attention modeling requires an extremely long training period to optimize and achieve promising detec…
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation
Haobo Yuan, Xiangtai Li, Yibo Yang +5
The Depth-aware Video Panoptic Segmentation (DVPS) is a new challenging vision problem that aims to predict panoptic segmentation and depth in a video simultaneously. The previous…
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
Yu Feng, Benteng Ma, Jing Zhang +3
In recent years, the security of AI systems has drawn increasing research attention, especially in the medical imaging realm. To develop a secure medical image analysis (MIA) syste…
GMFlow: Learning Optical Flow via Global Matching
Haofei Xu, Jing Zhang, Jianfei Cai +2
Learning-based optical flow estimation has been dominated with the pipeline of cost volume with convolutions for flow regression, which is inherently limited to local correlations…
RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?
Yufei Xu, Qiming Zhang, Jing Zhang +1
Self-supervised methods (SSL) have achieved significant success via maximizing the mutual information between two augmented views, where cropping is a popular augmentation techniqu…
Pruning Self-attentions into Convolutional Layers in Single Path
Haoyu He, Jianfei Cai, Jing Liu +4
Vision Transformers (ViTs) have achieved impressive performance over various computer vision tasks. However, modeling global correlations with multi-head self-attention (MSA) layer…
Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing Images
Lefei Zhang, Meng Lan, Jing Zhang +1
Road segmentation from remote sensing images is a challenging task with wide ranges of application potentials. Deep neural networks have advanced this field by leveraging the power…
Out-of-boundary View Synthesis Towards Full-Frame Video Stabilization
Yufei Xu, Jing Zhang, Dacheng Tao
Warping-based video stabilizers smooth camera trajectory by constraining each pixel's displacement and warp stabilized frames from unstable ones accordingly. However, since the vie…
AP-10K: A Benchmark for Animal Pose Estimation in the Wild
Hang Yu, Yufei Xu, Jing Zhang +3
Accurate animal pose estimation is an essential step towards understanding animal behavior, and can potentially benefit many downstream applications, such as wildlife conservation.…
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation
Li Gao, Jing Zhang, Lefei Zhang +1
Unsupervised domain adaptation (UDA) for semantic segmentation aims to adapt a segmentation model trained on the labeled source domain to the unlabeled target domain. Existing meth…
Deep Automatic Natural Image Matting
Jizhizi Li, Jing Zhang, Dacheng Tao
Automatic image matting (AIM) refers to estimating the soft foreground from an arbitrary natural image without any auxiliary input like trimap, which is useful for image editing. P…
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
Yufei Xu, Qiming Zhang, Jing Zhang +1
Transformers have shown great potential in various computer vision tasks owing to their strong capability in modeling long-range dependency using the self-attention mechanism. Neve…
End-to-end One-shot Human Parsing
Haoyu He, Bohan Zhuang, Jing Zhang +2
Previous human parsing methods are limited to parsing humans into pre-defined classes, which is inflexible for practical fashion applications that often have new fashion item class…
Privacy-Preserving Portrait Matting
Jizhizi Li, Sihan Ma, Jing Zhang +1
Recently, there has been an increasing concern about the privacy issue raised by using personally identifiable information in machine learning. However, previous portrait matting m…
Progressive One-shot Human Parsing
Haoyu He, Jing Zhang, Bhavani Thuraisingham +1
Prior human parsing models are limited to parsing humans into classes pre-defined in the training data, which is not flexible to generalize to unseen classes, e.g., new clothing in…
Inter-layer Transition in Neural Architecture Search
Benteng Ma, Jing Zhang, Yong Xia +1
Differential Neural Architecture Search (NAS) methods represent the network architecture as a repetitive proxy directed acyclic graph (DAG) and optimize the network weights and arc…
SIR: Self-supervised Image Rectification via Seeing the Same Scene from Multiple Different Lenses
Jinlong Fan, Jing Zhang, Dacheng Tao
Deep learning has demonstrated its power in image rectification by leveraging the representation capacity of deep neural networks via supervised training based on a large-scale syn…