activity
20172026
most citedPer-Pixel Classification is Not All You Need for Semantic Segmentation

167 citations · 774 across the 23 of their papers we have counts for

collaborators

23 papers

cs.CV2026

PhysInOne: Visual Physics Learning and Reasoning in One Suite

Siyuan Zhou, Hejun Wang, Hu Cheng +36

We present PhysInOne, a large-scale synthetic dataset addressing the critical scarcity of physically-grounded training data for AI systems. Unlike existing datasets limited to mere…

cs.CV2023★ 3 cited

VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud

Ziqin Wang, Bowen Cheng, Lichen Zhao +3

The task of 3D semantic scene graph (3DSSG) prediction in the point cloud is challenging since (1) the 3D point cloud only captures geometric structures with limited semantics comp…

cs.CV2021★ 64 cited

Mask2Former for Video Instance Segmentation

Bowen Cheng, Anwesa Choudhuri, Ishan Misra +3

We find Mask2Former also achieves state-of-the-art performance on video instance segmentation without modifying the architecture, the loss or even the training pipeline. In this re…

cs.CV2021★ 133 cited

Masked-attention Mask Transformer for Universal Image Segmentation

Bowen Cheng, Ishan Misra, Alexander G. Schwing +2

Image segmentation is about grouping pixels with different semantics, e.g., category or instance membership, where each choice of semantics defines a task. While only the semantics…

cs.CV2021★ 167 cited

Per-Pixel Classification is Not All You Need for Semantic Segmentation

Bowen Cheng, Alexander G. Schwing, Alexander Kirillov

Modern approaches typically formulate semantic segmentation as a per-pixel classification task, while instance-level segmentation is handled with an alternative mask classification…

cs.CV2021★ 5 cited

Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection

Jiachen Li, Bowen Cheng, Rogerio Feris +4

Current anchor-free object detectors are quite simple and effective yet lack accurate label assignment methods, which limits their potential in competing with classic anchor-based…