activity
20232026
most citedDiffAnt: Diffusion Models for Action Anticipation

1 citations · 2 across the 8 of their papers we have counts for

collaborators

10 papers

cs.HC2026

InSight: A Mobile Assistant Helping Visually Impaired People Navigate Unfamiliar Environment

Junwei Zheng, Jiale Wei, Di Wen +6

Navigating unfamiliar outdoor environments is one of the most demanding everyday tasks for people with visual impairments (PVI). However, existing navigation systems cannot simulta…

cs.CV2026

FlowNar: Scalable Streaming Narration for Long-Form Videos

Zeyun Zhong, Manuel Martin, Chengzhi Wu +4

Recent Large Multimodal Models (LMMs), primarily designed for offline settings, are ill-suited for the dynamic requirements of streaming video. While recent online adaptations impr…

cs.CV2026

EgoExoMem: Cross-View Memory Reasoning over Synchronized Egocentric and Exocentric Videos

Ruiping Liu, Junwei Zheng, Yufan Chen +7

Egocentric memory is widely used in embodied intelligence, but it may be insufficient for comprehensive spatial-temporal reasoning. Inspired by human recall from both field and obs…

cs.CV2026

InterEdit: Navigating Text-Guided 3D Dyadic Human Motion Editing

Yebin Yang, Di Wen, Lei Qi +10

Text-guided 3D motion editing has seen success in single-person scenarios, but its extension to multi-person settings is less explored due to limited paired data and the complexity…

cs.CV2025

6D Pose Estimation on Point Cloud Data through Prior Knowledge Integration: A Case Study in Autonomous Disassembly

Chengzhi Wu, Hao Fu, Jan-Philipp Kaiser +5

The accurate estimation of 6D pose remains a challenging task within the computer vision domain, even when utilizing 3D point cloud data. Conversely, in the manufacturing domain, i…

cs.CV2025

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning

Chengzhi Wu, Qianliang Huang, Kun Jin +2

Contrastive learning is an essential method in self-supervised learning. It primarily employs a multi-branch strategy to compare latent representations obtained from different bran…

cs.CV2025★ 1 cited

SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity

Chengzhi Wu, Yuxin Wan, Hao Fu +5

Driven by the increasing demand for accurate and efficient representation of 3D data in various domains, point cloud sampling has emerged as a pivotal research topic in 3D computer…

cs.CV2024

Rethinking Attention Module Design for Point Cloud Analysis

Chengzhi Wu, Kaige Wang, Zeyun Zhong +5

In recent years, there have been significant advancements in applying attention mechanisms to point cloud analysis. However, attention module variants featured in various research…

cs.CV2024

Open Panoramic Segmentation

Junwei Zheng, Ruiping Liu, Yufan Chen +5

Panoramic images, capturing a 360° field of view (FoV), encompass omnidirectional spatial information crucial for scene understanding. However, it is not only costly to obtain trai…

cs.CV2023★ 1 cited

DiffAnt: Diffusion Models for Action Anticipation

Zeyun Zhong, Chengzhi Wu, Manuel Martin +3

Anticipating future actions is inherently uncertain. Given an observed video segment containing ongoing actions, multiple subsequent actions can plausibly follow. This uncertainty…