papers

Publications (26)

cs.CV2024

VLMine: Long-Tail Data Mining with Vision Language Models

Mao Ye, Gregory P. Meyer, Zaiwei Zhang +4

cs.CV2023

Efficient Transformer-based 3D Object Detection with Dynamic Token Halting

Mao Ye, Gregory P. Meyer, Yuning Chai +1

cs.CV2021

HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps

Lu Mi, Hang Zhao, Charlie Nash +7

cs.LG2019

MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

Yuning Chai, Benjamin Sapp, Mayank Bansal +1

cs.CV2019

Patchwork: A Patch-wise Attention Network for Efficient Object Detection and Segmentation in Video Streams

Yuning Chai

cs.CV2020

TNT: Target-driveN Trajectory Prediction

Hang Zhao, Jiyang Gao, Tian Lan +9

cs.LG2025

Generative Data Mining with Longtail-Guided Diffusion

David S. Hayden, Mao Ye, Timur Garipov +6

cs.CV2021

RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection

Pei Sun, Weiyue Wang, Yuning Chai +5

cs.CV2024

Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving

Yichen Xie, Hongge Chen, Gregory P. Meyer +6

cs.CV2020

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla +22

cs.CV2021

Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset

Scott Ettinger, Shuyang Cheng, Benjamin Caine +15

cs.CV2019

FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation

Paul Voigtlaender, Yuning Chai, Florian Schroff +3

cs.CV2023

SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors

Hongge Chen, Zhao Chen, Gregory P. Meyer +4

cs.CV2020

SoDA: Multi-Object Tracking with Soft Data Association

Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin +4

cs.CV2024

ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts

Mu Cai, Haotian Liu, Dennis Park +4

cs.CV2019

StarNet: Targeted Computation for Object Detection in Point Clouds

Jiquan Ngiam, Benjamin Caine, Wei Han +10

cs.CV2025

PROFIT: A Specialized Optimizer for Deep Fine Tuning

Anirudh S Chakravarthy, Shuai Kyle Zheng, Xin Huang +4

cs.LG2025

DriveGPT: Scaling Autoregressive Behavior Models for Driving

Xin Huang, Eric M. Wolff, Paul Vernaza +13

cs.CV2021

To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels

Yuning Chai, Pei Sun, Jiquan Ngiam +5

cs.CV2021

Pseudo-labeling for Scalable 3D Object Detection

Benjamin Caine, Rebecca Roelofs, Vijay Vasudevan +4

cs.LG2020

Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout

Zhao Chen, Jiquan Ngiam, Yanping Huang +4

cs.RO2022

Occupancy Flow Fields for Motion Forecasting in Autonomous Driving

Reza Mahjourian, Jinkyu Kim, Yuning Chai +3

cs.CV2020

SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving

Zhenpei Yang, Yuning Chai, Dragomir Anguelov +5

cs.CV2026

Agentic Very Long Video Understanding

Aniket Rege, Arka Sadhu, Yuliang Li +5

cs.CV2023

NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects

Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela +3

cs.CV2026

Reading Recognition in the Wild

Charig Yang, Samiul Alam, Shakhrul Iman Siam +12