research
∙
05/19/2023
A Unified Prompt-Guided In-Context Inpainting Framework for Reference-based Image Manipulations
Recent advancements in Text-to-Image (T2I) generative models have yielde...
share
research
∙
10/12/2022
ZITS++: Image Inpainting by Improving the Incremental Transformer on Structural Priors
The image inpainting task fills missing areas of a corrupted image. Desp...
research
∙
10/07/2022
Specialized Re-Ranking: A Novel Retrieval-Verification Framework for Cloth Changing Person Re-Identification
Cloth changing person re-identification(Re-ID) can work under more compl...
research
∙
08/04/2022
MVSFormer: Multi-View Stereo with Pre-trained Vision Transformers and Temperature-based Depth
Feature representation learning is the key recipe for learning-based Mul...
research
∙
08/03/2022
Learning Prior Feature and Attention Enhanced Image Inpainting
Many recent inpainting works have achieved impressive results by leverag...
research
∙
07/19/2022
Visual Representation Learning with Transformer: A Sequence-to-Sequence Perspective
Visual representation learning is the key of solving various vision prob...
research
∙
04/21/2022
Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images
We study the problem of shape generation in 3D mesh representation from ...
research
∙
08/18/2021
Deep Hybrid Self-Prior for Full 3D Mesh Generation
We present a deep learning pipeline that leverages network self-prior to...
research
∙
06/27/2021
DONet: Learning Category-Level 6D Object Pose and Size Estimation from Depth Observation
We propose a method of Category-level 6D Object Pose and Size Estimation...
research
∙
03/28/2021
Learning a Sketch Tensor Space for Image Inpainting of Man-made Scenes
This paper studies the task of inpainting man-made scenes. It is very ch...
research
∙
11/17/2020
Whose hand is this? Person Identification from Egocentric Hand Gestures
Recognizing people by faces and other biometrics has been extensively st...
research
∙
07/15/2020
How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning
Deep learning based models have excelled in many computer vision task an...
research
∙
05/26/2020
Long-Term Cloth-Changing Person Re-identification
Person re-identification (Re-ID) aims to match a target person across ca...
research
∙
03/09/2020
When Person Re-identification Meets Changing Clothes
Person re-identification (Reid) is now an active research topic for AI-b...
research
∙
12/11/2018
Learning Large Euclidean Margin for Sketch-based Image Retrieval
This paper addresses the problem of Sketch-Based Image Retrieval (SBIR),...
research
∙
08/22/2018
Progressive Deep Neural Networks Acceleration via Soft Filter Pruning
This paper proposed a Progressive Soft Filter Pruning method (PSFP) to p...
research
∙
04/05/2018
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
We propose an end-to-end deep learning architecture that produces a 3D s...
research
∙
12/06/2017
Pose-Normalized Image Generation for Person Re-identification
Person Re-identification (re-id) faces two major challenges: the lack of...
research
∙
11/17/2017
AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding
Significant progress has been achieved in Computer Vision by leveraging ...
research
∙
02/21/2017
