activity
20152026
most citedA continual learning survey: Defying forgetting in classification tasks

1.7k citations · 2.8k across the 70 of their papers we have counts for

collaborators

75 papers

cs.CV2026

VolCo: Volumetric Contact for High-Fidelity Human Grasp Generation

Zhuo Chen, Yihua Cheng, Aleš Leonardis +1

Accurate contact modeling is fundamental to understanding hand-object interaction, yet existing contact representations are typically restricted to object surfaces and rely on hand…

cs.AI2026

Agora: Enhancing LLM Agent Reasoning Via Auction-Based Task Allocation

Kaiji Zhou, Aleš Leonardis, Yue Feng

Enhancing the reasoning capabilities of large language model (LLM) agents requires effective orchestration of diverse expert models and tools. However, existing frameworks typicall…

cs.CV2026

Articulation in Motion: Prior-free Part Mobility Analysis for Articulated Objects By Dynamic-Static Disentanglement

Hao Ai, Wenjie Chang, Jianbo Jiao +2

Articulated objects are ubiquitous in daily life. Our goal is to achieve a high-quality reconstruction, segmentation of independent moving parts, and analysis of articulation. Rece…

cs.GR2025

Force-Aware 3D Contact Modeling for Stable Grasp Generation

Zhuo Chen, Zhongqun Zhang, Yihua Cheng +2

Contact-based grasp generation plays a crucial role in various applications. Recent methods typically focus on the geometric structure of objects, producing grasps with diverse han…

cs.CV2025

Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics

Tze Ho Elden Tse, Runyang Feng, Linfang Zheng +5

With the availability of egocentric 3D hand-object interaction datasets, there is increasing interest in developing unified models for hand-object pose estimation and action recogn…

cs.CV2024★ 4 cited

Agri-LLaVA: Knowledge-Infused Large Multimodal Assistant on Agricultural Pests and Diseases

Liqiong Wang, Teng Jin, Jinyu Yang +3

In the general domain, large multimodal models (LMMs) have achieved significant advancements, yet challenges persist in applying them to specific fields, especially agriculture. As…