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20192026
most citedBi-Directional Cascade Network for Perceptual Edge Detection

38 citations · 92 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Dr.Occ: Depth- and Region-Guided 3D Occupancy from Surround-View Cameras for Autonomous Driving

Xubo Zhu, Haoyang Zhang, Fei He +4

3D semantic occupancy prediction is crucial for autonomous driving perception, offering comprehensive geometric scene understanding and semantic recognition. However, existing meth…

cs.CV2023★ 8 cited

InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation

Fei He, Haoyang Zhang, Naiyu Gao +4

Video instance segmentation (VIS) aims at segmenting and tracking objects in videos. Prior methods typically generate frame-level or clip-level object instances first and then asso…

cs.CV2022

PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation

Naiyu Gao, Fei He, Jian Jia +4

This paper presents a unified framework for depth-aware panoptic segmentation (DPS), which aims to reconstruct 3D scene with instance-level semantics from one single image. Prior w…

cs.CV2020★ 16 cited

Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation

Naiyu Gao, Yanhu Shan, Xin Zhao +1

Panoptic segmentation (PS) is a complex scene understanding task that requires providing high-quality segmentation for both thing objects and stuff regions. Previous methods handle…

cs.CV2019★ 30 cited

SSAP: Single-Shot Instance Segmentation With Affinity Pyramid

Naiyu Gao, Yanhu Shan, Yupei Wang +4

Recently, proposal-free instance segmentation has received increasing attention due to its concise and efficient pipeline. Generally, proposal-free methods generate instance-agnost…

cs.CV2019★ 38 cited

Bi-Directional Cascade Network for Perceptual Edge Detection

Jianzhong He, Shiliang Zhang, Ming Yang +2

Exploiting multi-scale representations is critical to improve edge detection for objects at different scales. To extract edges at dramatically different scales, we propose a Bi-Dir…