b'Yuchao Dai'

research

∙ 09/05/2023

Decomposed Guided Dynamic Filters for Efficient RGB-Guided Depth Completion

RGB-guided depth completion aims at predicting dense depth maps from spa...

0 Yufei Wang, et al. ∙

research

∙ 08/18/2023

Unsupervised 3D Pose Estimation with Non-Rigid Structure-from-Motion Modeling

Most of the previous 3D human pose estimation work relied on the powerfu...

0 Haorui Ji, et al. ∙

research

∙ 08/16/2023

Improving Audio-Visual Segmentation with Bidirectional Generation

The aim of audio-visual segmentation (AVS) is to precisely differentiate...

0 Dawei Hao, et al. ∙

research

∙ 07/31/2023

Digging Into Uncertainty-based Pseudo-label for Robust Stereo Matching

Due to the domain differences and unbalanced disparity distribution acro...

0 Zhelun Shen, et al. ∙

research

∙ 07/18/2023

Linearized Relative Positional Encoding

Relative positional encoding is widely used in vanilla and linear transf...

0 Zhen Qin, et al. ∙

research

∙ 05/08/2023

Toeplitz Neural Network for Sequence Modeling

Sequence modeling has important applications in natural language process...

0 Zhen Qin, et al. ∙

research

∙ 04/21/2023

A Revisit to the Normalized Eight-Point Algorithm and A Self-Supervised Deep Solution

The Normalized Eight-Point algorithm has been widely viewed as the corne...

0 Bin Fan, et al. ∙

research

∙ 04/14/2023

The Second Monocular Depth Estimation Challenge

This paper discusses the results for the second edition of the Monocular...

0 Jaime Spencer, et al. ∙

research

∙ 03/27/2023

Fine-grained Audible Video Description

We explore a new task for audio-visual-language modeling called fine-gra...

0 Xuyang Shen, et al. ∙

research

∙ 02/14/2023

Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring

Contemporary deep learning multi-scale deblurring models suffer from man...

0 Hongguang Zhang, et al. ∙

research

∙ 11/16/2022

Learning Dense and Continuous Optical Flow from an Event Camera

Event cameras such as DAVIS can simultaneously output high temporal reso...

0 Zhexiong Wan, et al. ∙

research

∙ 10/26/2022

Learning a Task-specific Descriptor for Robust Matching of 3D Point Clouds

Existing learning-based point feature descriptors are usually task-agnos...

0 Zhiyuan Zhang, et al. ∙

research

∙ 10/26/2022

CU-Net: LiDAR Depth-Only Completion With Coupled U-Net

LiDAR depth-only completion is a challenging task to estimate dense dept...

0 Yufei Wang, et al. ∙

research

∙ 10/26/2022

Searching Dense Point Correspondences via Permutation Matrix Learning

Although 3D point cloud data has received widespread attentions as a gen...

0 Zhiyuan Zhang, et al. ∙

research

∙ 10/15/2022

Linear Video Transformer with Feature Fixation

Vision Transformers have achieved impressive performance in video classi...

0 Kaiyue Lu, et al. ∙

research

∙ 10/06/2022

Rolling Shutter Inversion: Bring Rolling Shutter Images to High Framerate Global Shutter Video

A single rolling-shutter (RS) image may be viewed as a row-wise combinat...

0 Bin Fan, et al. ∙

research

∙ 07/05/2022

Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation

Accurate moving object segmentation is an essential task for autonomous ...

26 Jiadai Sun, et al. ∙

research

∙ 06/15/2022

Neural Deformable Voxel Grid for Fast Optimization of Dynamic View Synthesis

Recently, Neural Radiance Fields (NeRF) is revolutionizing the task of n...

0 Xiang Guo, et al. ∙

research

∙ 05/25/2022

Context-Aware Video Reconstruction for Rolling Shutter Cameras

With the ubiquity of rolling shutter (RS) cameras, it is becoming increa...

0 Bin Fan, et al. ∙

research

∙ 03/24/2022

VRNet: Learning the Rectified Virtual Corresponding Points for 3D Point Cloud Registration

3D point cloud registration is fragile to outliers, which are labeled as...

0 Zhiyuan Zhang, et al. ∙

research

∙ 03/24/2022

A Representation Separation Perspective to Correspondences-free Unsupervised 3D Point Cloud Registration

3D point cloud registration in remote sensing field has been greatly adv...

0 Zhiyuan Zhang, et al. ∙

research

∙ 11/29/2021

MUNet: Motion Uncertainty-aware Semi-supervised Video Object Segmentation

The task of semi-supervised video object segmentation (VOS) has been gre...

0 Jiadai Sun, et al. ∙

research

∙ 10/28/2021

End-to-end Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration

Even though considerable progress has been made in deep learning-based 3...

0 Zhiyuan Zhang, et al. ∙

research

∙ 09/15/2021

RGB-D Saliency Detection via Cascaded Mutual Information Minimization

Existing RGB-D saliency detection models do not explicitly encourage RGB...

0 Jing Zhang, et al. ∙

research

∙ 08/17/2021

PR-RRN: Pairwise-Regularized Residual-Recursive Networks for Non-rigid Structure-from-Motion

We propose PR-RRN, a novel neural-network based method for Non-rigid Str...

0 Haitian Zeng, et al. ∙

research

∙ 08/10/2021

SUNet: Symmetric Undistortion Network for Rolling Shutter Correction

The vast majority of modern consumer-grade cameras employ a rolling shut...

0 Bin Fan, et al. ∙

research

∙ 08/09/2021

Complementary Patch for Weakly Supervised Semantic Segmentation

Weakly Supervised Semantic Segmentation (WSSS) based on image-level labe...

0 Fei Zhang, et al. ∙

research

∙ 06/24/2021

Depth-Guided Camouflaged Object Detection

Camouflaged object detection (COD) aims to segment camouflaged objects h...

0 Jing Zhang, et al. ∙

research

∙ 04/20/2021

Transformer Transforms Salient Object Detection and Camouflaged Object Detection

The transformer networks, which originate from machine translation, are ...

0 Yuxin Mao, et al. ∙

research

∙ 04/09/2021

CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching

Recently, the ever-increasing capacity of large-scale annotated datasets...

0 Zhelun Shen, et al. ∙

research

∙ 04/01/2021

Deep Two-View Structure-from-Motion Revisited

Two-view structure-from-motion (SfM) is the cornerstone of 3D reconstruc...

0 Jianyuan Wang, et al. ∙

research

∙ 03/06/2021

Simultaneously Localize, Segment and Rank the Camouflaged Objects

Camouflage is a key defence mechanism across species that is critical to...

0 Yunqiu Lyu, et al. ∙

research

∙ 03/05/2021

IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image

3D object detection from a single image is an important task in Autonomo...

0 Dingfu Zhou, et al. ∙

research

∙ 12/10/2020

Uncertainty-Aware Deep Calibrated Salient Object Detection

Existing deep neural network based salient object detection (SOD) method...

13 Jing Zhang, et al. ∙

research

∙ 12/06/2020

Depth Completion using Piecewise Planar Model

A depth map can be represented by a set of learned bases and can be effi...

0 Yiran Zhong, et al. ∙

research

∙ 12/02/2020

Efficient Depth Completion Using Learned Bases

In this paper, we propose a new global geometry constraint for depth com...

0 Yiran Zhong, et al. ∙

research

∙ 12/01/2020

Displacement-Invariant Cost Computation for Efficient Stereo Matching

Although deep learning-based methods have dominated stereo matching lead...

9 Yiran Zhong, et al. ∙

research

∙ 10/28/2020

Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation

Learning matching costs has been shown to be critical to the success of ...

0 Jianyuan Wang, et al. ∙

research

∙ 10/26/2020

Hierarchical Neural Architecture Search for Deep Stereo Matching

To reduce the human efforts in neural network design, Neural Architectur...

0 Xuelian Cheng, et al. ∙

research

∙ 10/22/2020

Novel View Synthesis from only a 6-DoF Camera Pose by Two-stage Networks

Novel view synthesis is a challenging problem in computer vision and rob...

0 Xiang Guo, et al. ∙

research

∙ 09/14/2020

PRAFlow_RVC: Pyramid Recurrent All-Pairs Field Transforms for Optical Flow Estimation in Robust Vision Challenge 2020

Optical flow estimation is an important computer vision task, which aims...

0 Zhexiong Wan, et al. ∙

research

∙ 09/07/2020

Uncertainty Inspired RGB-D Saliency Detection

We propose the first stochastic framework to employ uncertainty for RGB-...

11 Jing Zhang, et al. ∙

research

∙ 06/23/2020

MSMD-Net: Deep Stereo Matching with Multi-scale and Multi-dimension Cost Volume

Deep end-to-end learning based stereo matching methods have achieved gre...

0 Zhelun Shen, et al. ∙

research

∙ 06/15/2020

Dense Non-Rigid Structure from Motion: A Manifold Viewpoint

Non-Rigid Structure-from-Motion (NRSfM) problem aims to recover 3D geome...

15 Suryansh Kumar, et al. ∙

research

∙ 06/14/2020

Relative Pose Estimation for Stereo Rolling Shutter Cameras

In this paper, we present a novel linear algorithm to estimate the 6 DoF...

0 Ke Wang, et al. ∙

research

∙ 06/02/2020

Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution

Despite the remarkable progresses made in deep-learning based depth map ...

5 Xibin Song, et al. ∙

research

∙ 03/17/2020

Weakly-Supervised Salient Object Detection via Scribble Annotations

Compared with laborious pixel-wise dense labeling, it is much easier to ...

5 Jing Zhang, et al. ∙

research

∙ 11/19/2019

Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene

This work addresses the task of dense 3D reconstruction of a complex dyn...

19 Suryansh Kumar, et al. ∙

research

∙ 10/06/2019

Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation

Stereo videos for the dynamic scenes often show unpleasant blurred effec...

12 Liyuan Pan, et al. ∙

research

∙ 08/30/2019

MVS^2: Deep Unsupervised Multi-view Stereo with Multi-View Symmetry

The success of existing deep-learning based multi-view stereo (MVS) appr...

3 Yuchao Dai, et al. ∙

Yuchao Dai

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