NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (20)

cs.LG2016

Diving deeper into mentee networks

Ragav Venkatesan, Baoxin Li

cs.SI2016

Trending Chic: Analyzing the Influence of Social Media on Fashion Brands

Lydia Manikonda, Ragav Venkatesan, Subbarao Kambhampati +1

cs.CV2016

Hierarchical Attention Network for Action Recognition in Videos

Yilin Wang, Suhang Wang, Jiliang Tang +3

cs.CV2017

Relative Learning from Web Images for Content-adaptive Enhancement

Parag S. Chandakkar, Qiongjie Tian, Baoxin Li

cs.AI2018

Recognizing Plans by Learning Embeddings from Observed Action Distributions

Yantian Zha, Yikang Li, Sriram Gopalakrishnan +2

cs.CV2017

Supporting Navigation of Outdoor Shopping Complexes for Visually-impaired Users through Multi-modal Data Fusion

Archana Paladugu, Parag S. Chandakkar, Peng Zhang +1

cs.CV2017

A Structured Approach to Predicting Image Enhancement Parameters

Parag S. Chandakkar, Baoxin Li

cs.CV2016

Neural Dataset Generality

Ragav Venkatesan, Vijetha Gattupalli, Baoxin Li

cs.LG2018

Training Neural Networks by Using Power Linear Units (PoLUs)

Yikang Li, Pak Lun Kevin Ding, Baoxin Li

cs.CV2019

Weakly Supervised Deep Image Hashing through Tag Embeddings

Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li

cs.CV2017

Investigating Human Factors in Image Forgery Detection

Parag S. Chandakkar, Baoxin Li

cs.CV2015

Unsupervised Video Analysis Based on a Spatiotemporal Saliency Detector

Qiang Zhang, Yilin Wang, Baoxin Li

cs.CV2017

Joint Cuts and Matching of Partitions in One Graph

Tianshu Yu, Junchi Yan, Jieyi Zhao +1

cs.CV2017

Joint Regression and Ranking for Image Enhancement

Parag S. Chandakkar, Baoxin Li

cs.CV2017

Classification of Diabetic Retinopathy Images Using Multi-Class Multiple-Instance Learning Based on Color Correlogram Features

Ragav Venkatesan, Parag S. Chandakkar, Baoxin Li

cs.CV2017

A Computational Approach to Relative Aesthetics

Parag S. Chandakkar, Vijetha Gattupalli, Baoxin Li

cs.CV2018

Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval

Pak Lun Kevin Ding, Yikang Li, Baoxin Li

cs.CV2017

A Strategy for an Uncompromising Incremental Learner

Ragav Venkatesan, Hemanth Venkateswara, Sethuraman Panchanathan +1

cs.CV2017

Capturing Localized Image Artifacts through a CNN-based Hyper-image Representation

Parag Shridhar Chandakkar, Baoxin Li

cs.CV2017

Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection

Parag S. Chandakkar, Yilin Wang, Baoxin Li