230 citations · 1.1k across the 84 of their papers we have counts for
85 papers
RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation
Zhexiong Wan, Yuxin Mao, Jing Zhang +1
Recently, the RGB images and point clouds fusion methods have been proposed to jointly estimate 2D optical flow and 3D scene flow. However, as both conventional RGB cameras and LiD…
Transferable Attack for Semantic Segmentation
Mengqi He, Jing Zhang, Zhaoyuan Yang +3
We analysis performance of semantic segmentation models wrt. adversarial attacks, and observe that the adversarial examples generated from a source model fail to attack the target…
Unsupervised 3D Pose Estimation with Non-Rigid Structure-from-Motion Modeling
Haorui Ji, Hui Deng, Yuchao Dai +1
Most of the previous 3D human pose estimation work relied on the powerful memory capability of the network to obtain suitable 2D-3D mappings from the training data. Few works have…
Digging into Depth Priors for Outdoor Neural Radiance Fields
Chen Wang, Jiadai Sun, Lina Liu +5
Neural Radiance Fields (NeRF) have demonstrated impressive performance in vision and graphics tasks, such as novel view synthesis and immersive reality. However, the shape-radiance…
Digging Into Uncertainty-based Pseudo-label for Robust Stereo Matching
Zhelun Shen, Xibin Song, Yuchao Dai +3
Due to the domain differences and unbalanced disparity distribution across multiple datasets, current stereo matching approaches are commonly limited to a specific dataset and gene…
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation
Mochu Xiang, Jing Zhang, Nick Barnes +1
Effectively measuring and modeling the reliability of a trained model is essential to the real-world deployment of monocular depth estimation (MDE) models. However, the intrinsic i…
Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learning
Aixuan Li, Jing Zhang, Yunqiu Lv +4
Salient objects attract human attention and usually stand out clearly from their surroundings. In contrast, camouflaged objects share similar colors or textures with the environmen…
Weakly-supervised Contrastive Learning for Unsupervised Object Discovery
Yunqiu Lv, Jing Zhang, Nick Barnes +1
Unsupervised object discovery (UOD) refers to the task of discriminating the whole region of objects from the background within a scene without relying on labeled datasets, which b…
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…
Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection
Aixuan Li, Yuxin Mao, Jing Zhang +1
In this paper, we present a weakly-supervised RGB-D salient object detection model via scribble supervision. Specifically, as a multimodal learning task, we focus on effective mult…
The Second Monocular Depth Estimation Challenge
Jaime Spencer, C. Stella Qian, Michaela Trescakova +40
This paper discusses the results for the second edition of the Monocular Depth Estimation Challenge (MDEC). This edition was open to methods using any form of supervision, includin…
Fine-grained Audible Video Description
Xuyang Shen, Dong Li, Jinxing Zhou +9
We explore a new task for audio-visual-language modeling called fine-grained audible video description (FAVD). It aims to provide detailed textual descriptions for the given audibl…
Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring
Hongguang Zhang, Limeng Zhang, Yuchao Dai +2
Contemporary deep learning multi-scale deblurring models suffer from many issues: 1) They perform poorly on non-uniformly blurred images/videos; 2) Simply increasing the model dept…
Linear Video Transformer with Feature Fixation
Kaiyue Lu, Zexiang Liu, Jianyuan Wang +8
Vision Transformers have achieved impressive performance in video classification, while suffering from the quadratic complexity caused by the Softmax attention mechanism. Some stud…
Rolling Shutter Inversion: Bring Rolling Shutter Images to High Framerate Global Shutter Video
Bin Fan, Yuchao Dai, Hongdong Li
A single rolling-shutter (RS) image may be viewed as a row-wise combination of a sequence of global-shutter (GS) images captured by a (virtual) moving GS camera within the exposure…
Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation
Jiadai Sun, Yuchao Dai, Xianjing Zhang +4
Accurate moving object segmentation is an essential task for autonomous driving. It can provide effective information for many downstream tasks, such as collision avoidance, path p…
Neural Deformable Voxel Grid for Fast Optimization of Dynamic View Synthesis
Xiang Guo, Guanying Chen, Yuchao Dai +4
Recently, Neural Radiance Fields (NeRF) is revolutionizing the task of novel view synthesis (NVS) for its superior performance. In this paper, we propose to synthesize dynamic scen…
Context-Aware Video Reconstruction for Rolling Shutter Cameras
Bin Fan, Yuchao Dai, Zhiyuan Zhang +2
With the ubiquity of rolling shutter (RS) cameras, it is becoming increasingly attractive to recover the latent global shutter (GS) video from two consecutive RS frames, which also…
Towards Deeper Understanding of Camouflaged Object Detection
Yunqiu Lv, Jing Zhang, Yuchao Dai +3
Preys in the wild evolve to be camouflaged to avoid being recognized by predators. In this way, camouflage acts as a key defence mechanism across species that is critical to surviv…
Deep Non-rigid Structure-from-Motion: A Sequence-to-Sequence Translation Perspective
Hui Deng, Tong Zhang, Yuchao Dai +3
Directly regressing the non-rigid shape and camera pose from the individual 2D frame is ill-suited to the Non-Rigid Structure-from-Motion (NRSfM) problem. This frame-by-frame 3D re…
A Representation Separation Perspective to Correspondences-free Unsupervised 3D Point Cloud Registration
Zhiyuan Zhang, Jiadai Sun, Yuchao Dai +3
3D point cloud registration in remote sensing field has been greatly advanced by deep learning based methods, where the rigid transformation is either directly regressed from the t…
Exploring Depth Contribution for Camouflaged Object Detection
Mochu Xiang, Jing Zhang, Yunqiu Lv +3
Camouflaged object detection (COD) aims to segment camouflaged objects hiding in the environment, which is challenging due to the similar appearance of camouflaged objects and thei…
Simultaneously Localize, Segment and Rank the Camouflaged Objects
Yunqiu Lv, Jing Zhang, Yuchao Dai +4
Camouflage is a key defence mechanism across species that is critical to survival. Common strategies for camouflage include background matching, imitating the color and pattern of…
CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching
Zhelun Shen, Yuchao Dai, Zhibo Rao
Recently, the ever-increasing capacity of large-scale annotated datasets has led to profound progress in stereo matching. However, most of these successes are limited to a specific…