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07/17/2023
BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs
LLMs have demonstrated remarkable abilities at interacting with humans t...
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04/03/2023
Disentangled Pre-training for Image Matting
Image matting requires high-quality pixel-level human annotations to sup...
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01/30/2023
SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation
Since the introduction of Vision Transformers, the landscape of many com...
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12/08/2022
Executing your Commands via Motion Diffusion in Latent Space
We study a challenging task, conditional human motion generation, which ...
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10/20/2022
Coordinates Are NOT Lonely – Codebook Prior Helps Implicit Neural 3D Representations
Implicit neural 3D representation has achieved impressive results in sur...
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04/12/2022
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation
Although vision transformers (ViTs) have achieved great success in compu...
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06/07/2021
Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer
Very recently, Window-based Transformers, which computed self-attention ...
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04/02/2021
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation
Despite their success for semantic segmentation, convolutional neural ne...
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03/22/2021
Human De-occlusion: Invisible Perception and Recovery for Humans
In this paper, we tackle the problem of human de-occlusion which reasons...
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09/14/2020
High-Resolution Deep Image Matting
Image matting is a key technique for image and video editing and composi...
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05/21/2020
Deep learning-based automated image segmentation for concrete petrographic analysis
The standard petrography test method for measuring air voids in concrete...
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04/21/2020
The 1st Agriculture-Vision Challenge: Methods and Results
The first Agriculture-Vision Challenge aims to encourage research in dev...
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01/05/2020
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
The success of deep learning in visual recognition tasks has driven adva...
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08/26/2019
SPGNet: Semantic Prediction Guidance for Scene Parsing
Multi-scale context module and single-stage encoder-decoder structure ar...
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07/02/2019
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
Video object segmentation (VOS) aims at pixel-level object tracking give...
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11/28/2018
CCNet: Criss-Cross Attention for Semantic Segmentation
Long-range dependencies can capture useful contextual information to ben...
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09/17/2018
Devil in the Details: Towards Accurate Single and Multiple Human Parsing
Human parsing has received considerable interest due to its wide applica...
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06/12/2017
Point Linking Network for Object Detection
Object detection is a core problem in computer vision. With the developm...
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05/06/2017