activity
20172023
most citedDPT: Deformable Patch-based Transformer for Visual Recognition

116 citations · 132 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20232 cited

Mitigating Hallucination in Visual Language Models with Visual Supervision

Zhiyang Chen, Yousong Zhu, Yufei Zhan +4

Large vision-language models (LVLMs) suffer from hallucination a lot, generating responses that apparently contradict to the image content occasionally. The key problem lies in its…

cs.CV20225 cited

Masked Contrastive Pre-Training for Efficient Video-Text Retrieval

Fangxun Shu, Biaolong Chen, Yue Liao +6

We present a simple yet effective end-to-end Video-language Pre-training (VidLP) framework, Masked Contrastive Video-language Pretraining (MAC), for video-text retrieval tasks. Our…

cs.CV20228 cited

Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks

Zhiyang Chen, Yousong Zhu, Zhaowen Li +8

Visual tasks vary a lot in their output formats and concerned contents, therefore it is hard to process them with an identical structure. One main obstacle lies in the high-dimensi…

cs.CV2022

UniVIP: A Unified Framework for Self-Supervised Visual Pre-training

Zhaowen Li, Yousong Zhu, Fan Yang +9

Self-supervised learning (SSL) holds promise in leveraging large amounts of unlabeled data. However, the success of popular SSL methods has limited on single-centric-object images…

cs.CV2021116 cited

DPT: Deformable Patch-based Transformer for Visual Recognition

Zhiyang Chen, Yousong Zhu, Chaoyang Zhao +4

Transformer has achieved great success in computer vision, while how to split patches in an image remains a problem. Existing methods usually use a fixed-size patch embedding which…

cs.CV20171 cited

CoupleNet: Coupling Global Structure with Local Parts for Object Detection

Yousong Zhu, Chaoyang Zhao, Jinqiao Wang +3

The region-based Convolutional Neural Network (CNN) detectors such as Faster R-CNN or R-FCN have already shown promising results for object detection by combining the region propos…