activity
20152026
most citedOn Convergence and Stability of GANs

228 citations · 1.5k across the 123 of their papers we have counts for

collaborators
Showing 2017Show all

5 papers · 1 filter

cs.CV2017★ 5 cited

Grounded Objects and Interactions for Video Captioning

Chih-Yao Ma, Asim Kadav, Iain Melvin +3

We address the problem of video captioning by grounding language generation on object interactions in the video. Existing work mostly focuses on overall scene understanding with of…

cs.LG2017★ 119 cited

Learning to cluster in order to transfer across domains and tasks

Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira

This paper introduces a novel method to perform transfer learning across domains and tasks, formulating it as a problem of learning to cluster. The key insight is that, in addition…

cs.CV2017★ 12 cited

Attend and Interact: Higher-Order Object Interactions for Video Understanding

Chih-Yao Ma, Asim Kadav, Iain Melvin +3

Human actions often involve complex interactions across several inter-related objects in the scene. However, existing approaches to fine-grained video understanding or visual relat…

cs.AI2017★ 228 cited

On Convergence and Stability of GANs

Naveen Kodali, Jacob Abernethy, James Hays +1

We propose studying GAN training dynamics as regret minimization, which is in contrast to the popular view that there is consistent minimization of a divergence between real and ge…

cs.CV2017★ 39 cited

TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition

Chih-Yao Ma, Min-Hung Chen, Zsolt Kira +1

Recent two-stream deep Convolutional Neural Networks (ConvNets) have made significant progress in recognizing human actions in videos. Despite their success, methods extending the…