21 citations · 52 across the 5 of their papers we have counts for
5 papers
Learnable Embedding Space for Efficient Neural Architecture Compression
Shengcao Cao, Xiaofang Wang, Kris M. Kitani
We propose a method to incrementally learn an embedding space over the domain of network architectures, to enable the careful selection of architectures for evaluation during compr…
Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator
Namhoon Lee, Xinshuo Weng, Vishnu Naresh Boddeti +4
We introduce the concept of a Visual Compiler that generates a scene specific pedestrian detector and pose estimator without any pedestrian observations. Given a single image and a…
Deep Supervised Hashing with Triplet Labels
Xiaofang Wang, Yi Shi, Kris M. Kitani
Hashing is one of the most popular and powerful approximate nearest neighbor search techniques for large-scale image retrieval. Most traditional hashing methods first represent ima…
Contextual Visual Similarity
Xiaofang Wang, Kris M. Kitani, Martial Hebert
Measuring visual similarity is critical for image understanding. But what makes two images similar? Most existing work on visual similarity assumes that images are similar because…
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection
Jonathan Shen, Noranart Vesdapunt, Vishnu N. Boddeti +1
Deep convolutional neural networks continue to advance the state-of-the-art in many domains as they grow bigger and more complex. It has been observed that many of the parameters o…