activity
20212025
most citedSoccerNet 2023 Challenges Results

28 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental Learning

Chao Qi, Jianqin Yin, Ren Zhang

Image-point class incremental learning helps the 3D-points-vision robots continually learn category knowledge from 2D images, improving their perceptual capability in dynamic envir…

cs.CV2025

Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training

Chao Qi, Jianqin Yin, Meng Chen +2

Existing class-incremental learning methods in 3D point clouds rely on exemplars (samples of former classes) to resist the catastrophic forgetting of models, and exemplar-free sett…

cs.CV2024

Towards Physically Realizable Adversarial Attacks in Embodied Vision Navigation

Meng Chen, Jiawei Tu, Chao Qi +4

The significant advancements in embodied vision navigation have raised concerns about its susceptibility to adversarial attacks exploiting deep neural networks. Investigating the a…

cs.CV2023★ 28 cited

SoccerNet 2023 Challenges Results

Anthony Cioppa, Silvio Giancola, Vladimir Somers +99

The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vi…

cs.CV2021

Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-aware Semantic Segmentation in Point Clouds

Chao Qi, Jianqin Yin

Uncertainty-aware semantic segmentation of the point clouds includes the predictive uncertainty estimation and the uncertainty-guided model optimization. One key challenge in the t…