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Li Chen

4 papers hereh-index 266 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • astro-ph.HE1
  • cs.RO1
same name
  • Li Chen — 26 papers, h 9
  • Li Chen — 24 papers, h 18
  • Li Chen — 23 papers, h 9
  • Li Chen — 22 papers, h 13
  • Li Chen — 22 papers, h 22
  • Li Chen — 21 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedFully Sparse 3D Occupancy Prediction

6 citations · 6 across the 3 of their papers we have counts for

collaborators

4 papers

astro-ph.HE2026

GRB 181201A: Spectropolarimetric Constraints on Prompt Emission and Magnetic Field Structure

Dhruv S. Bal, Nikita S. Khatiya, Philippe Laurent +3

Gamma-ray bursts (GRBs) have served as testbeds for high-energy astrophysical phenomena since their discovery over 50 years ago. GRB detections reveal diverse properties across eve…

cs.RO2026

RoboNaldo: Accurate, Stable and Powerful Humanoid Soccer Shooting via Motion-Guided Curriculum Reinforcement Learning

Yichao Zhong, Yidan Lu, Yuhang Lu +9

Elite humanoid soccer shooting requires whole-body stability, high-impulse whole-body interactions, and accuracy to targets. Motion tracking-driven reinforcement learning (RL) prov…

cs.CV2024

Test-time Correction: An Online 3D Detection System via Visual Prompting

Hanxue Zhang, Zetong Yang, Yanan Sun +4

This paper introduces Test-time Correction (TTC), an online 3D detection system designed to rectify test-time errors using various auxiliary feedback, aiming to enhance the safety…

cs.CV2023★ 6 cited

Fully Sparse 3D Occupancy Prediction

Haisong Liu, Yang Chen, Haiguang Wang +6

Occupancy prediction plays a pivotal role in autonomous driving. Previous methods typically construct dense 3D volumes, neglecting the inherent sparsity of the scene and suffering…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.