research
∙
07/19/2023
LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network
Recovering sharp images from dual-pixel (DP) pairs with disparity-depend...
share
research
∙
07/09/2023
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's Eye View
Recent vision-only perception models for autonomous driving achieved pro...
research
∙
04/21/2023
VisFusion: Visibility-aware Online 3D Scene Reconstruction from Videos
We propose VisFusion, a visibility-aware online 3D scene reconstruction ...
research
∙
02/28/2023
Sampled Transformer for Point Sets
The sparse transformer can reduce the computational complexity of the se...
research
∙
10/08/2022
Contact-aware Human Motion Forecasting
In this paper, we tackle the task of scene-aware 3D human motion forecas...
research
∙
08/24/2022
WiCV 2022: The Tenth Women In Computer Vision Workshop
In this paper, we present the details of Women in Computer Vision Worksh...
research
∙
05/31/2022
Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction
We introduce the task of action-driven stochastic human motion predictio...
research
∙
05/08/2022
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo
Recent cost volume pyramid based deep neural networks have unlocked the ...
research
∙
03/15/2022
SPA-VAE: Similar-Parts-Assignment for Unsupervised 3D Point Cloud Generation
This paper addresses the problem of unsupervised parts-aware point cloud...
research
∙
11/24/2021
Mining Meta-indicators of University Ranking: A Machine Learning Approach Based on SHAP
University evaluation and ranking is an extremely complex activity. Majo...
research
∙
10/13/2021
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation
This paper tackles the problem of parts-aware point cloud generation. Un...
research
∙
08/19/2021
Generating Smooth Pose Sequences for Diverse Human Motion Prediction
Recent progress in stochastic motion prediction, i.e., predicting multip...
research
∙
06/17/2021
Multi-level Motion Attention for Human Motion Prediction
Human motion prediction aims to forecast future human poses given a hist...
research
∙
06/10/2021
Spatially Invariant Unsupervised 3D Object Segmentation with Graph Neural Networks
In this paper, we tackle the problem of unsupervised 3D object segmentat...
research
∙
05/20/2021
Dense Reconstruction of Transparent Objects by Altering Incident Light Paths Through Refraction
This paper addresses the problem of reconstructing the surface shape of ...
research
∙
04/07/2021
Self-supervised Learning of Depth Inference for Multi-view Stereo
Recent supervised multi-view depth estimation networks have achieved pro...
research
∙
01/23/2021
Fixed Viewpoint Mirror Surface Reconstruction under an Uncalibrated Camera
This paper addresses the problem of mirror surface reconstruction, and p...
research
∙
12/01/2020
Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration
The dual-pixel (DP) hardware works by splitting each pixel in half and c...
research
∙
07/23/2020
History Repeats Itself: Human Motion Prediction via Motion Attention
Human motion prediction aims to forecast future human poses given a past...
research
∙
04/01/2020
Single Image Optical Flow Estimation with an Event Camera
Event cameras are bio-inspired sensors that asynchronously report intens...
research
∙
02/26/2020
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization
We address the problem of joint optical flow and camera motion estimatio...
research
∙
12/18/2019
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
We propose a cost volume based neural network for depth inference from m...
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...
research
∙
08/15/2019
Learning Trajectory Dependencies for Human Motion Prediction
Human motion prediction, i.e., forecasting future body poses given obser...
research
∙
03/12/2019
Bringing Blurry Alive at High Frame-Rate with an Event Camera
Event-based cameras can measure intensity changes (called ` events') wit...
research
∙
03/01/2019
Single Image Deblurring and Camera Motion Estimation with Depth Map
Camera shake during exposure is a major problem in hand-held photography...
research
∙
11/26/2018
Phase-only Image Based Kernel Estimation for Single-image Blind Deblurring
The image blurring process is generally modelled as the convolution of a...
research
∙
11/26/2018
Bringing a Blurry Frame Alive at High Frame-Rate with an Event Camera
Event-based cameras can measure intensity changes (called ` events') wit...
research
∙
04/17/2018
Geometry-aware Deep Network for Single-Image Novel View Synthesis
This paper tackles the problem of novel view synthesis from a single ima...
research
∙
11/27/2017
Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps
We aim at predicting a complete and high-resolution depth map from incom...
research
∙
04/11/2017
Simultaneous Stereo Video Deblurring and Scene Flow Estimation
Videos for outdoor scene often show unpleasant blur effects due to the l...
research
∙
05/31/2016