262 citations · 881 across the 33 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CV2017★ 15 cited
Recurrent Autoregressive Networks for Online Multi-Object Tracking
Kuan Fang, Yu Xiang, Xiaocheng Li +1
The main challenge of online multi-object tracking is to reliably associate object trajectories with detections in each video frame based on their tracking history. In this work, w…
cs.CV2017★ 132 cited
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan +1
Estimating the 6D pose of known objects is important for robots to interact with the real world. The problem is challenging due to the variety of objects as well as the complexity…
cs.CV2017★ 6 cited
DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks
Yu Xiang, Dieter Fox
3D scene understanding is important for robots to interact with the 3D world in a meaningful way. Most previous works on 3D scene understanding focus on recognizing geometrical or…