activity
20102024
most citedMulti-Task Feature Learning Via Efficient l2,1-Norm Minimization

553 citations · 820 across the 28 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV20241 cited

AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization

Shixiong Xu, Chenghao Zhang, Lubin Fan +3

In this study, we introduce a new problem raised by social media and photojournalism, named Image Address Localization (IAL), which aims to predict the readable textual address whe…

cs.CV2024

Discrete Latent Perspective Learning for Segmentation and Detection

Deyi Ji, Feng Zhao, Lanyun Zhu +3

In this paper, we address the challenge of Perspective-Invariant Learning in machine learning and computer vision, which involves enabling a network to understand images from varyi…

cs.CV2024

CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer

Hualian Sheng, Sijia Cai, Na Zhao +4

The field of 3D object detection from point clouds is rapidly advancing in computer vision, aiming to accurately and efficiently detect and localize objects in three-dimensional sp…

cs.CV20245 cited

IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding

Lanyun Zhu, Deyi Ji, Tianrun Chen +3

Despite achieving rapid developments and with widespread applications, Large Vision-Language Models (LVLMs) confront a serious challenge of being prone to generating hallucinations…

cs.CV2024

Bootstrapping Audio-Visual Segmentation by Strengthening Audio Cues

Tianxiang Chen, Zhentao Tan, Tao Gong +6

How to effectively interact audio with vision has garnered considerable interest within the multi-modality research field. Recently, a novel audio-visual segmentation (AVS) task ha…

cs.CV2023

Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark

Deyi Ji, Feng Zhao, Hongtao Lu +2

With the increasing interest and rapid development of methods for Ultra-High Resolution (UHR) segmentation, a large-scale benchmark covering a wide range of scenes with full fine-g…