activity
20182022
most citedX-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval

11 citations · 18 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV202211 cited

X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval

Satya Krishna Gorti, Noel Vouitsis, Junwei Ma +4

In text-video retrieval, the objective is to learn a cross-modal similarity function between a text and a video that ranks relevant text-video pairs higher than irrelevant pairs. H…

cs.CV2021

Weakly Supervised Action Selection Learning in Video

Junwei Ma, Satya Krishna Gorti, Maksims Volkovs +1

Localizing actions in video is a core task in computer vision. The weakly supervised temporal localization problem investigates whether this task can be adequately solved with only…

cs.CV20194 cited

Cross-Class Relevance Learning for Temporal Concept Localization

Junwei Ma, Satya Krishna Gorti, Maksims Volkovs +2

We present a novel Cross-Class Relevance Learning approach for the task of temporal concept localization. Most localization architectures rely on feature extraction layers followed…

cs.CV20193 cited

Semi-Supervised Exploration in Image Retrieval

Cheng Chang, Himanshu Rai, Satya Krishna Gorti +4

We present our solution to Landmark Image Retrieval Challenge 2019. This challenge was based on the large Google Landmarks Dataset V2[9]. The goal was to retrieve all database imag…

cs.LG2018

Text-to-Image-to-Text Translation using Cycle Consistent Adversarial Networks

Satya Krishna Gorti, Jeremy Ma

Text-to-Image translation has been an active area of research in the recent past. The ability for a network to learn the meaning of a sentence and generate an accurate image that d…

stat.ML2018

ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs

Aparna Balagopalan, Satya Gorti, Mathieu Ravaut +1

Generative Adversarial Networks (GANs) have seen steep ascension to the peak of ML research zeitgeist in recent years. Mostly catalyzed by its success in the domain of image genera…