39 citations · 55 across the 7 of their papers we have counts for
7 papers
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
Chuan Wen, Jianing Qian, Jierui Lin +3
Across applications spanning supervised classification and sequential control, deep learning has been reported to find "shortcut" solutions that fail catastrophically under minor c…
Keyframe-Focused Visual Imitation Learning
Chuan Wen, Jierui Lin, Jianing Qian +2
Imitation learning trains control policies by mimicking pre-recorded expert demonstrations. In partially observable settings, imitation policies must rely on observation histories,…
Robust Instance Tracking via Uncertainty Flow
Jianing Qian, Junyu Nan, Siddharth Ancha +2
Current state-of-the-art trackers often fail due to distractorsand large object appearance changes. In this work, we explore the use ofdense optical flow to improve tracking robust…
Cloth Region Segmentation for Robust Grasp Selection
Jianing Qian, Thomas Weng, Luxin Zhang +2
Cloth detection and manipulation is a common task in domestic and industrial settings, yet such tasks remain a challenge for robots due to cloth deformability. Furthermore, in many…
FusionMapping: Learning Depth Prediction with Monocular Images and 2D Laser Scans
Peng Yin, Jianing Qian, Yibo Cao +2
Acquiring accurate three-dimensional depth information conventionally requires expensive multibeam LiDAR devices. Recently, researchers have developed a less expensive option by pr…
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
Yihui He, Jianing Qian, Jianren Wang +5
Very deep convolutional neural networks (CNNs) have been firmly established as the primary methods for many computer vision tasks. However, most state-of-the-art CNNs are large, wh…
A surgical system for automatic registration, stiffness mapping and dynamic image overlay
Nicolas Zevallos, Rangaprasad Arun Srivatsan, Hadi Salman +6
In this paper we develop a surgical system using the da Vinci research kit (dVRK) that is capable of autonomously searching for tumors and dynamically displaying the tumor location…