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most citedDeep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

3.5k citations

Showing 2017 · cs.CVShow all

7 papers · 2 filters

cs.CV2017★ 32 cited

Character-Based Handwritten Text Transcription with Attention Networks

Jason Poulos, Rafael Valle

The paper approaches the task of handwritten text recognition (HTR) with attentional encoder-decoder networks trained on sequences of characters, rather than words. We experiment o…

cs.CV2017★ 4 cited

Geometry-Aware Learning of Maps for Camera Localization

Samarth Brahmbhatt, Jinwei Gu, Kihwan Kim +2

Maps are a key component in image-based camera localization and visual SLAM systems: they are used to establish geometric constraints between images, correct drift in relative pose…

cs.CV2017★ 4 cited

Budget-Aware Activity Detection with A Recurrent Policy Network

Behrooz Mahasseni, Xiaodong Yang, Pavlo Molchanov +1

In this paper, we address the challenging problem of efficient temporal activity detection in untrimmed long videos. While most recent work has focused and advanced the detection a…

cs.CV2017★ 301 cited

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu +3

We present a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs). Condi…

cs.CV2017★ 140 cited

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

Deqing Sun, Xiaodong Yang, Ming-Yu Liu +1

We present a compact but effective CNN model for optical flow, called PWC-Net. PWC-Net has been designed according to simple and well-established principles: pyramidal processing,…

cs.CV2017★ 11 cited

A Lightweight Approach for On-the-Fly Reflectance Estimation

Kihwan Kim, Jinwei Gu, Stephen Tyree +3

Estimating surface reflectance (BRDF) is one key component for complete 3D scene capture, with wide applications in virtual reality, augmented reality, and human computer interacti…

cs.CV2017★ 239 cited

Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car

Mariusz Bojarski, Philip Yeres, Anna Choromanska +4

As part of a complete software stack for autonomous driving, NVIDIA has created a neural-network-based system, known as PilotNet, which outputs steering angles given images of the…