2.4k citations · 7.8k across the 82 of their papers we have counts for
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Hierarchical Discrete Distribution Decomposition for Match Density Estimation
Zhichao Yin, Trevor Darrell, Fisher Yu
Explicit representations of the global match distributions of pixel-wise correspondences between pairs of images are desirable for uncertainty estimation and downstream application…
Few-shot Object Detection via Feature Reweighting
Bingyi Kang, Zhuang Liu, Xin Wang +3
Conventional training of a deep CNN based object detector demands a large number of bounding box annotations, which may be unavailable for rare categories. In this work we develop…
Disentangling Propagation and Generation for Video Prediction
Hang Gao, Huazhe Xu, Qi-Zhi Cai +3
A dynamic scene has two types of elements: those that move fluidly and can be predicted from previous frames, and those which are disoccluded (exposed) and cannot be extrapolated.…
Joint Monocular 3D Vehicle Detection and Tracking
Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang +5
Vehicle 3D extents and trajectories are critical cues for predicting the future location of vehicles and planning future agent ego-motion based on those predictions. In this paper,…
Deep Object-Centric Policies for Autonomous Driving
Dequan Wang, Coline Devin, Qi-Zhi Cai +2
While learning visuomotor skills in an end-to-end manner is appealing, deep neural networks are often uninterpretable and fail in surprising ways. For robotics tasks, such as auton…
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation
Chaowei Xiao, Ruizhi Deng, Bo Li +3
Deep Neural Networks (DNNs) have been widely applied in various recognition tasks. However, recently DNNs have been shown to be vulnerable against adversarial examples, which can m…