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20222024
most citedLow-Light Video Enhancement with Synthetic Event Guidance

5 citations · 23 across the 13 of their papers we have counts for

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8 papers · 1 filter

cs.CV20241 cited

Self-Localized Collaborative Perception

Zhenyang Ni, Zixing Lei, Yifan Lu +4

Collaborative perception has garnered considerable attention due to its capacity to address several inherent challenges in single-agent perception, including occlusion and out-of-r…

cs.CV2024

JointRF: End-to-End Joint Optimization for Dynamic Neural Radiance Field Representation and Compression

Zihan Zheng, Houqiang Zhong, Qiang Hu +4

Neural Radiance Field (NeRF) excels in photo-realistically static scenes, inspiring numerous efforts to facilitate volumetric videos. However, rendering dynamic and long-sequence r…

cs.CV2023

MSG-BART: Multi-granularity Scene Graph-Enhanced Encoder-Decoder Language Model for Video-grounded Dialogue Generation

Hongcheng Liu, Zhe Chen, Hui Li +3

Generating dialogue grounded in videos requires a high level of understanding and reasoning about the visual scenes in the videos. However, existing large visual-language models ar…

cs.CV20232 cited

Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction

Chenxin Xu, Robby T. Tan, Yuhong Tan +3

Exploring spatial-temporal dependencies from observed motions is one of the core challenges of human motion prediction. Previous methods mainly focus on dedicated network structure…

cs.CV20233 cited

EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning

Chenxin Xu, Robby T. Tan, Yuhong Tan +4

Learning to predict agent motions with relationship reasoning is important for many applications. In motion prediction tasks, maintaining motion equivariance under Euclidean geomet…

cs.CV20232 cited

TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving

Shaoheng Fang, Zi Wang, Yiqi Zhong +3

Vision-centric joint perception and prediction (PnP) has become an emerging trend in autonomous driving research. It predicts the future states of the traffic participants in the s…