activity
20192025
most citedTNT: Target-driveN Trajectory Prediction

211 citations · 269 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

9 papers · 1 filter

cs.CV2025

Car-GS: Addressing Reflective and Transparent Surface Challenges in 3D Car Reconstruction

Congcong Li, Jin Wang, Xiaomeng Wang +4

3D car modeling is crucial for applications in autonomous driving systems, virtual and augmented reality, and gaming. However, due to the distinctive properties of cars, such as hi…

cs.CV2022

End-to-End Compressed Video Representation Learning for Generic Event Boundary Detection

Congcong Li, Xinyao Wang, Longyin Wen +3

Generic event boundary detection aims to localize the generic, taxonomy-free event boundaries that segment videos into chunks. Existing methods typically require video frames to be…

cs.CV20215 cited

Generic Event Boundary Detection Challenge at CVPR 2021 Technical Report: Cascaded Temporal Attention Network (CASTANET)

Dexiang Hong, Congcong Li, Longyin Wen +2

This report presents the approach used in the submission of Generic Event Boundary Detection (GEBD) Challenge at CVPR21. In this work, we design a Cascaded Temporal Attention Netwo…

cs.CV2020211 cited

TNT: Target-driveN Trajectory Prediction

Hang Zhao, Jiyang Gao, Tian Lan +9

Predicting the future behavior of moving agents is essential for real world applications. It is challenging as the intent of the agent and the corresponding behavior is unknown and…

cs.CV202044 cited

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

Jiyang Gao, Chen Sun, Hang Zhao +4

Behavior prediction in dynamic, multi-agent systems is an important problem in the context of self-driving cars, due to the complex representations and interactions of road compone…

cs.CV20209 cited

STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction

Zhishuai Zhang, Jiyang Gao, Junhua Mao +3

Detecting pedestrians and predicting future trajectories for them are critical tasks for numerous applications, such as autonomous driving. Previous methods either treat the detect…