10 citations · 11 across the 2 of their papers we have counts for
17 papers
Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training
Saurabh Sahu, Palash Goyal
The introduction of Transformer model has led to tremendous advancements in sequence modeling, especially in text domain. However, the use of attention-based models for video under…
Hierarchical Class-Based Curriculum Loss
Palash Goyal, Shalini Ghosh
Classification algorithms in machine learning often assume a flat label space. However, most real world data have dependencies between the labels, which can often be captured by us…
Cross-modal Learning for Multi-modal Video Categorization
Palash Goyal, Saurabh Sahu, Shalini Ghosh +1
Multi-modal machine learning (ML) models can process data in multiple modalities (e.g., video, audio, text) and are useful for video content analysis in a variety of problems (e.g.…
Exploiting Temporal Coherence for Multi-modal Video Categorization
Palash Goyal, Saurabh Sahu, Shalini Ghosh +1
Multimodal ML models can process data in multiple modalities (e.g., video, images, audio, text) and are useful for video content analysis in a variety of problems (e.g., object det…
Graph Representation Ensemble Learning
Palash Goyal, Di Huang, Sujit Rokka Chhetri +3
Representation learning on graphs has been gaining attention due to its wide applicability in predicting missing links, and classifying and recommending nodes. Most embedding metho…
ArduCode: Predictive Framework for Automation Engineering
Arquimedes Canedo, Palash Goyal, Di Huang +2
Automation engineering is the task of integrating, via software, various sensors, actuators, and controls for automating a real-world process. Today, automation engineering is supp…