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37 papers · 2 filters
Balanced Sparsity for Efficient DNN Inference on GPU
Zhuliang Yao, Shijie Cao, Wencong Xiao +2
In trained deep neural networks, unstructured pruning can reduce redundant weights to lower storage cost. However, it requires the customization of hardwares to speed up practical…
MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image
Jinglu Wang, Bo Sun, Yan Lu
In this paper, we address the problem of reconstructing an object's surface from a single image using generative networks. First, we represent a 3D surface with an aggregation of d…
Mask R-CNN with Pyramid Attention Network for Scene Text Detection
Zhida Huang, Zhuoyao Zhong, Lei Sun +1
In this paper, we present a new Mask R-CNN based text detection approach which can robustly detect multi-oriented and curved text from natural scene images in a unified manner. To…
Detect or Track: Towards Cost-Effective Video Object Detection/Tracking
Hao Luo, Wenxuan Xie, Xinggang Wang +1
State-of-the-art object detectors and trackers are developing fast. Trackers are in general more efficient than detectors but bear the risk of drifting. A question is hence raised…
Image Smoothing via Unsupervised Learning
Qingnan Fan, Jiaolong Yang, David Wipf +2
Image smoothing represents a fundamental component of many disparate computer vision and graphics applications. In this paper, we present a unified unsupervised (label-free) learni…
Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes
Peng-Shuai Wang, Chun-Yu Sun, Yang Liu +1
We present an Adaptive Octree-based Convolutional Neural Network (Adaptive O-CNN) for efficient 3D shape encoding and decoding. Different from volumetric-based or octree-based CNN…