activity
20202026
most citedPolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions

85 citations · 297 across the 54 of their papers we have counts for

collaborators
Showing 2023Show all

9 papers · 1 filter

cs.RO2023★ 22 cited

Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research

Cole Gulino, Justin Fu, Wenjie Luo +19

Simulation is an essential tool to develop and benchmark autonomous vehicle planning software in a safe and cost-effective manner. However, realistic simulation requires accurate m…

cs.CV2023

LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection

Tong He, Pei Sun, Zhaoqi Leng +3

We propose a late-to-early recurrent feature fusion scheme for 3D object detection using temporal LiDAR point clouds. Our main motivation is fusing object-aware latent embeddings i…

cs.CV2023

Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving

Mahyar Najibi, Jingwei Ji, Yin Zhou +4

Closed-set 3D perception models trained on only a pre-defined set of object categories can be inadequate for safety critical applications such as autonomous driving where new objec…

cs.CV2023★ 2 cited

3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels

Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji +3

Training a 3D human keypoint detector from point clouds in a supervised manner requires large volumes of high quality labels. While it is relatively easy to capture large amounts o…

cs.CV2023

MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences

Yingwei Li, Charles R. Qi, Yin Zhou +2

Occluded and long-range objects are ubiquitous and challenging for 3D object detection. Point cloud sequence data provide unique opportunities to improve such cases, as an occluded…

cs.RO2023★ 1 cited

MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion

Chiyu Max Jiang, Andre Cornman, Cheolho Park +3

We present MotionDiffuser, a diffusion based representation for the joint distribution of future trajectories over multiple agents. Such representation has several key advantages:…

cs.CV2023★ 9 cited

The Waymo Open Sim Agents Challenge

Nico Montali, John Lambert, Paul Mougin +9

Simulation with realistic, interactive agents represents a key task for autonomous vehicle software development. In this work, we introduce the Waymo Open Sim Agents Challenge (WOS…

cs.CV2023

WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting

Kan Chen, Runzhou Ge, Hang Qiu +12

Widely adopted motion forecasting datasets substitute the observed sensory inputs with higher-level abstractions such as 3D boxes and polylines. These sparse shapes are inferred th…

cs.CV2023★ 2 cited

GINA-3D: Learning to Generate Implicit Neural Assets in the Wild

Bokui Shen, Xinchen Yan, Charles R. Qi +5

Modeling the 3D world from sensor data for simulation is a scalable way of developing testing and validation environments for robotic learning problems such as autonomous driving.…