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

Publications (17)

cs.LG2018

Co-regularized Alignment for Unsupervised Domain Adaptation

Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan +4

cs.CV2019

LaSO: Label-Set Operations networks for multi-label few-shot learning

Amit Alfassy, Leonid Karlinsky, Amit Aides +5

cs.CV2019

Depthwise Convolution is All You Need for Learning Multiple Visual Domains

Yunhui Guo, Yandong Li, Rogerio Feris +2

cs.CV2019

Improving Object Detection from Scratch via Gated Feature Reuse

Zhiqiang Shen, Honghui Shi, Jiahui Yu +7

cs.CV2018

Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images

Noel C. F. Codella, Chung-Ching Lin, Allan Halpern +3

cs.LG2016

Generative Adversarial Networks as Variational Training of Energy Based Models

Shuangfei Zhai, Yu Cheng, Rogerio Feris +1

cs.CV2018

Learning to Separate Object Sounds by Watching Unlabeled Video

Ruohan Gao, Rogerio Feris, Kristen Grauman

cs.CV2018

Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation

Xi Peng, Zhiqiang Tang, Fei Yang +2

cs.LG2016

S3Pool: Pooling with Stochastic Spatial Sampling

Shuangfei Zhai, Hui Wu, Abhishek Kumar +4

cs.CV2018

Delta-encoder: an effective sample synthesis method for few-shot object recognition

Eli Schwartz, Leonid Karlinsky, Joseph Shtok +6

cs.CV2019

BlockDrop: Dynamic Inference Paths in Residual Networks

Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar +4

cs.CV2018

RepMet: Representative-based metric learning for classification and one-shot object detection

Leonid Karlinsky, Joseph Shtok, Sivan Harary +5

cs.CV2016

Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

Yongxi Lu, Abhishek Kumar, Shuangfei Zhai +3

cs.CV2019

Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition

Chun-Fu Chen, Quanfu Fan, Neil Mallinar +2

cs.CV2018

SpotTune: Transfer Learning through Adaptive Fine-tuning

Yunhui Guo, Honghui Shi, Abhishek Kumar +3

cs.CV2018

Revisiting RCNN: On Awakening the Classification Power of Faster RCNN

Bowen Cheng, Yunchao Wei, Honghui Shi +3

cs.CV2018

Segmentation of both Diseased and Healthy Skin from Clinical Photographs in a Primary Care Setting

Noel C. F. Codella, Daren Anderson, Tyler Philips +5