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20192026
most citedNatural Language Video Localization: A Revisit in Span-based Question Answering Framework

93 citations · 341 across the 14 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Semantic and Visual Evidence for Efficient Long-Video Reasoning: A Solution for the HD-EPIC VQA Challenge

Yinsong Xu, Wei Jing, Liuxin Zhang +2

Understanding long-form egocentric videos remains challenging for multimodal large language models (MLLMs) due to limited context length and insufficient grounding of fine-grained…

cs.CV2022★ 6 cited

Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based Model

En Yen Puang, Hao Zhang, Hongyuan Zhu +1

In this paper we present SA-CNN, a hierarchical and lightweight self-attention based encoding and decoding architecture for representation learning of point cloud data. The propose…

cs.CV2022★ 74 cited

Temporal Sentence Grounding in Videos: A Survey and Future Directions

Hao Zhang, Aixin Sun, Wei Jing +1

Temporal sentence grounding in videos (TSGV), \aka natural language video localization (NLVL) or video moment retrieval (VMR), aims to retrieve a temporal moment that semantically…

cs.CV2021★ 6 cited

Towards Debiasing Temporal Sentence Grounding in Video

Hao Zhang, Aixin Sun, Wei Jing +1

The temporal sentence grounding in video (TSGV) task is to locate a temporal moment from an untrimmed video, to match a language query, i.e., a sentence. Without considering bias i…

cs.CV2021

Domain Generalization for Vision-based Driving Trajectory Generation

Yunkai Wang, Dongkun Zhang, Yuxiang Cui +5

One of the challenges in vision-based driving trajectory generation is dealing with out-of-distribution scenarios. In this paper, we propose a domain generalization method for visi…

cs.CV2019★ 8 cited

6D Pose Estimation with Correlation Fusion

Yi Cheng, Hongyuan Zhu, Ying Sun +6

6D object pose estimation is widely applied in robotic tasks such as grasping and manipulation. Prior methods using RGB-only images are vulnerable to heavy occlusion and poor illum…