activity
20202024
most citedTransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation

27 citations · 127 across the 53 of their papers we have counts for

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Showing 2023 · cs.CVShow all

12 papers · 2 filters

cs.CV2023★ 2 cited

Navigating Open Set Scenarios for Skeleton-based Action Recognition

Kunyu Peng, Cheng Yin, Junwei Zheng +7

In real-world scenarios, human actions often fall outside the distribution of training data, making it crucial for models to recognize known actions and reject unknown ones. Howeve…

cs.CV2023★ 1 cited

CoBEV: Elevating Roadside 3D Object Detection with Depth and Height Complementarity

Hao Shi, Chengshan Pang, Jiaming Zhang +6

Roadside camera-driven 3D object detection is a crucial task in intelligent transportation systems, which extends the perception range beyond the limitations of vision-centric vehi…

cs.CV2023

Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision

Yiping Wei, Kunyu Peng, Alina Roitberg +6

Self-supervised representation learning for human action recognition has developed rapidly in recent years. Most of the existing works are based on skeleton data while using a mult…

cs.CV2023★ 1 cited

Open Scene Understanding: Grounded Situation Recognition Meets Segment Anything for Helping People with Visual Impairments

Ruiping Liu, Jiaming Zhang, Kunyu Peng +5

Grounded Situation Recognition (GSR) is capable of recognizing and interpreting visual scenes in a contextually intuitive way, yielding salient activities (verbs) and the involved…

cs.CV2023

Line Graphics Digitization: A Step Towards Full Automation

Omar Moured, Jiaming Zhang, Alina Roitberg +2

The digitization of documents allows for wider accessibility and reproducibility. While automatic digitization of document layout and text content has been a long-standing focus of…

cs.CV2023★ 1 cited

OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic Segmentation

Fei Teng, Jiaming Zhang, Kunyu Peng +3

Light field cameras are capable of capturing intricate angular and spatial details. This allows for acquiring complex light patterns and details from multiple angles, significantly…