8 citations · 18 across the 26 of their papers we have counts for
7 papers · 1 filter
UniFlow: Zero-Shot LiDAR Scene Flow for Autonomous Vehicles
Siyi Li, Qingwen Zhang, Ishan Khatri +4
LiDAR scene flow is the task of estimating per-point 3D motion between consecutive point clouds. Recent methods achieve centimeter-level accuracy on popular autonomous vehicle (AV)…
RF-DETR: Neural Architecture Search for Real-Time Detection Transformers
Isaac Robinson, Peter Robicheaux, Matvei Popov +2
Open-vocabulary detectors achieve impressive performance on COCO, but often fail to generalize to real-world datasets with out-of-distribution classes not typically found in their…
MonoFusion: Sparse-View 4D Reconstruction via Monocular Fusion
Zihan Wang, Jeff Tan, Tarasha Khurana +2
We address the problem of dynamic scene reconstruction from sparse-view videos. Prior work often requires dense multi-view captures with hundreds of calibrated cameras (e.g. Panopt…
RefAV: Towards Planning-Centric Scenario Mining
Cainan Davidson, Deva Ramanan, Neehar Peri
Autonomous Vehicles (AVs) collect and pseudo-label terabytes of multi-modal data localized to HD maps during normal fleet testing. However, identifying interesting and safety-criti…
Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models
Peter Robicheaux, Matvei Popov, Anish Madan +4
Vision-language models (VLMs) trained on internet-scale data achieve remarkable zero-shot detection performance on common objects like car, truck, and pedestrian. However, state-of…
Towards Learning to Complete Anything in Lidar
Ayca Takmaz, Cristiano Saltori, Neehar Peri +4
We propose CAL (Complete Anything in Lidar) for Lidar-based shape-completion in-the-wild. This is closely related to Lidar-based semantic/panoptic scene completion. However, contem…
QuickDraw: Fast Visualization, Analysis and Active Learning for Medical Image Segmentation
Daniel Syomichev, Padmini Gopinath, Guang-Lin Wei +6
Analyzing CT scans, MRIs and X-rays is pivotal in diagnosing and treating diseases. However, detecting and identifying abnormalities from such medical images is a time-intensive pr…