activity
20192026
most citedA Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds

122 citations · 300 across the 25 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024★ 2 cited

ByteNet: Rethinking Multimedia File Fragment Classification through Visual Perspectives

Wenyang Liu, Kejun Wu, Tianyi Liu +3

Multimedia file fragment classification (MFFC) aims to identify file fragment types, e.g., image/video, audio, and text without system metadata. It is of vital importance in multim…

cs.CV2024★ 12 cited

SGIFormer: Semantic-guided and Geometric-enhanced Interleaving Transformer for 3D Instance Segmentation

Lei Yao, Yi Wang, Moyun Liu +1

In recent years, transformer-based models have exhibited considerable potential in point cloud instance segmentation. Despite the promising performance achieved by existing methods…

cs.CV2024

CaRe-Ego: Contact-aware Relationship Modeling for Egocentric Interactive Hand-object Segmentation

Yuejiao Su, Yi Wang, Lap-Pui Chau

Egocentric Interactive hand-object segmentation (EgoIHOS) requires the segmentation of hands and interacting objects in egocentric images, which is crucial for understanding human…

cs.CV2024

Symmetric Multi-Similarity Loss for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2024

Xiaoqi Wang, Yi Wang, Lap-Pui Chau

In this report, we present our champion solution for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge in CVPR 2024. Essentially, this challenge differs from traditional visual-…

cs.CV2024★ 43 cited

A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective

Huaiyuan Xu, Junliang Chen, Shiyu Meng +2

3D occupancy perception technology aims to observe and understand dense 3D environments for autonomous vehicles. Owing to its comprehensive perception capability, this technology i…

cs.CV2024

F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning

Huiping Zhuang, Yuchen Liu, Run He +5

Online Class Incremental Learning (OCIL) aims to train models incrementally, where data arrive in mini-batches, and previous data are not accessible. A major challenge in OCIL is C…