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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...
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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...
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08/16/2023
Improving Audio-Visual Segmentation with Bidirectional Generation
The aim of audio-visual segmentation (AVS) is to precisely differentiate...
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07/31/2023
Digging Into Uncertainty-based Pseudo-label for Robust Stereo Matching
Due to the domain differences and unbalanced disparity distribution acro...
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07/18/2023
Linearized Relative Positional Encoding
Relative positional encoding is widely used in vanilla and linear transf...
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05/08/2023
Toeplitz Neural Network for Sequence Modeling
Sequence modeling has important applications in natural language process...
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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...
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04/14/2023
The Second Monocular Depth Estimation Challenge
This paper discusses the results for the second edition of the Monocular...
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03/27/2023
Fine-grained Audible Video Description
We explore a new task for audio-visual-language modeling called fine-gra...
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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...
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11/16/2022
Learning Dense and Continuous Optical Flow from an Event Camera
Event cameras such as DAVIS can simultaneously output high temporal reso...
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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...
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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...
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10/26/2022
Searching Dense Point Correspondences via Permutation Matrix Learning
Although 3D point cloud data has received widespread attentions as a gen...
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10/15/2022
Linear Video Transformer with Feature Fixation
Vision Transformers have achieved impressive performance in video classi...
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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...
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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 ...
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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...
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05/25/2022
Context-Aware Video Reconstruction for Rolling Shutter Cameras
With the ubiquity of rolling shutter (RS) cameras, it is becoming increa...
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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...
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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...
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11/29/2021
MUNet: Motion Uncertainty-aware Semi-supervised Video Object Segmentation
The task of semi-supervised video object segmentation (VOS) has been gre...
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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...
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09/15/2021
RGB-D Saliency Detection via Cascaded Mutual Information Minimization
Existing RGB-D saliency detection models do not explicitly encourage RGB...
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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...
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08/10/2021
SUNet: Symmetric Undistortion Network for Rolling Shutter Correction
The vast majority of modern consumer-grade cameras employ a rolling shut...
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08/09/2021
Complementary Patch for Weakly Supervised Semantic Segmentation
Weakly Supervised Semantic Segmentation (WSSS) based on image-level labe...
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06/24/2021
Depth-Guided Camouflaged Object Detection
Camouflaged object detection (COD) aims to segment camouflaged objects h...
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04/20/2021
Transformer Transforms Salient Object Detection and Camouflaged Object Detection
The transformer networks, which originate from machine translation, are ...
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04/09/2021
CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching
Recently, the ever-increasing capacity of large-scale annotated datasets...
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04/01/2021
Deep Two-View Structure-from-Motion Revisited
Two-view structure-from-motion (SfM) is the cornerstone of 3D reconstruc...
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03/06/2021
Simultaneously Localize, Segment and Rank the Camouflaged Objects
Camouflage is a key defence mechanism across species that is critical to...
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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...
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12/10/2020
Uncertainty-Aware Deep Calibrated Salient Object Detection
Existing deep neural network based salient object detection (SOD) method...
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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...
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12/02/2020
Efficient Depth Completion Using Learned Bases
In this paper, we propose a new global geometry constraint for depth com...
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12/01/2020
Displacement-Invariant Cost Computation for Efficient Stereo Matching
Although deep learning-based methods have dominated stereo matching lead...
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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 ...
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10/26/2020
Hierarchical Neural Architecture Search for Deep Stereo Matching
To reduce the human efforts in neural network design, Neural Architectur...
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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...
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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...
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09/07/2020
Uncertainty Inspired RGB-D Saliency Detection
We propose the first stochastic framework to employ uncertainty for RGB-...
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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...
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06/15/2020
Dense Non-Rigid Structure from Motion: A Manifold Viewpoint
Non-Rigid Structure-from-Motion (NRSfM) problem aims to recover 3D geome...
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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...
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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 ...
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03/17/2020
Weakly-Supervised Salient Object Detection via Scribble Annotations
Compared with laborious pixel-wise dense labeling, it is much easier to ...
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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...
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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...
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08/30/2019
