923 citations · 1k across the 25 of their papers we have counts for
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cs.CV2019
A Near-Optimal Gradient Flow for Learning Neural Energy-Based Models
Yang Wu, Pengxu Wei, Liang Lin
In this paper, we propose a novel numerical scheme to optimize the gradient flows for learning energy-based models (EBMs). From a perspective of physical simulation, we redefine th…
cs.CV2019★ 1 cited
Min-Entropy Latent Model for Weakly Supervised Object Detection
Fang Wan, Pengxu Wei, Zhenjun Han +2
Weakly supervised object detection is a challenging task when provided with image category supervision but required to learn, at the same time, object locations and object detector…
cs.CV2019★ 2 cited
3D Human Pose Machines with Self-supervised Learning
Keze Wang, Liang Lin, Chenhan Jiang +2
Driven by recent computer vision and robotic applications, recovering 3D human poses has become increasingly important and attracted growing interests. In fact, completing this tas…