activity
20222026
most citedA Simple Baseline for Efficient Hand Mesh Reconstruction

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

GOLF: Global Observation with Local Focus for Calibration-Aware Stereo Interaction Field Estimation

Minqiang Zou, Riqiang Jin, Zhi Lv +7

We present GOLF, the first-place solution to the SHOW3D Interaction Field Estimation Challenge at HANDS@ECCV 2026. Given synchronized egocentric stereo views, the task is to predic…

cs.AI2026

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Aili Chen, Aonian Li, Baichuan Zhou +215

We introduce the MiniMax-M2 series, a family of Mixture-of-Experts language models built around the principle that mini activations can unleash maximum real-world intelligence. The…

cs.CV2024

1st Place Solution of Multiview Egocentric Hand Tracking Challenge ECCV2024

Minqiang Zou, Zhi Lv, Riqiang Jin +4

Multi-view egocentric hand tracking is a challenging task and plays a critical role in VR interaction. In this report, we present a method that uses multi-view input images and cam…

cs.CV2024★ 1 cited

A Simple Baseline for Efficient Hand Mesh Reconstruction

Zhishan Zhou, Shihao. zhou, Zhi Lv +3

3D hand pose estimation has found broad application in areas such as gesture recognition and human-machine interaction tasks. As performance improves, the complexity of the systems…

cs.CV2023

1st Place Solution of Egocentric 3D Hand Pose Estimation Challenge 2023 Technical Report:A Concise Pipeline for Egocentric Hand Pose Reconstruction

Zhishan Zhou, Zhi Lv, Shihao Zhou +5

This report introduce our work on Egocentric 3D Hand Pose Estimation workshop. Using AssemblyHands, this challenge focuses on egocentric 3D hand pose estimation from a single-view…

cs.CV2022

SimpleDG: Simple Domain Generalization Baseline without Bells and Whistles

Zhi Lv, Bo Lin, Siyuan Liang +4

We present a simple domain generalization baseline, which wins second place in both the common context generalization track and the hybrid context generalization track respectively…