activity
20152026
most citedShapeNet: An Information-Rich 3D Model Repository

2.4k citations · 7.8k across the 82 of their papers we have counts for

collaborators
Showing 2022Show all

19 papers · 1 filter

cs.CV2022★ 14 cited

CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion

Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar +2

To track the 3D locations and trajectories of the other traffic participants at any given time, modern autonomous vehicles are equipped with multiple cameras that cover the vehicle…

cs.CV2022★ 5 cited

Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts

Qi Fan, Mattia Segu, Yu-Wing Tai +4

Improving model's generalizability against domain shifts is crucial, especially for safety-critical applications such as autonomous driving. Real-world domain styles can vary subst…

cs.CV2022★ 2 cited

3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers

Changyong Shu, JIajun Deng, Fisher Yu +1

Transformer-based methods have swept the benchmarks on 2D and 3D detection on images. Because tokenization before the attention mechanism drops the spatial information, positional…

cs.CV2022★ 1 cited

Unifying Flow, Stereo and Depth Estimation

Haofei Xu, Jing Zhang, Jianfei Cai +4

We present a unified formulation and model for three motion and 3D perception tasks: optical flow, rectified stereo matching and unrectified stereo depth estimation from posed imag…

cs.RO2022

Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing

Jiawei Fu, Yunlong Song, Yan Wu +2

Autonomous drones can operate in remote and unstructured environments, enabling various real-world applications. However, the lack of effective vision-based algorithms has been a s…

cs.CV2022

Spatio-Temporal Action Detection Under Large Motion

Gurkirt Singh, Vasileios Choutas, Suman Saha +2

Current methods for spatiotemporal action tube detection often extend a bounding box proposal at a given keyframe into a 3D temporal cuboid and pool features from nearby frames. Ho…