Boosting Video Captioning with Dynamic Loss Network. - Nasib Ullah; Partha Pratim Mohanta (CoRR, 2021)

Thinking Hallucination for Video Captioning. - Nasib Ullah; Partha Pratim Mohanta (ACCV (4), 2022)

A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition. - R. Gnana Praveen; Wheidima Carneiro de Melo; Nasib Ullah; Haseeb Aslam; Osama Zeeshan; Théo Denorme; Marco Pedersoli; Alessandro L. Koerich; Simon Bacon; Patrick Cardinal; Eric Granger (CVPR Workshops, 2022)

A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition. - Gnana Praveen Rajasekhar; Wheidima Carneiro de Melo; Nasib Ullah; Haseeb Aslam; Osama Zeeshan; Théo Denorme; Marco Pedersoli; Alessandro L. Koerich; Patrick Cardinal; Eric Granger (CoRR, 2022)

Zero-Shot Learning Over Large Output Spaces : Utilizing Indirect Knowledge Extraction from Large Language Models. - Jinbin Zhang; Nasib Ullah; Rohit Babbar (CoRR, 2024)

Navigating Extremes: Dynamic Sparsity in Large Output Space. - Nasib Ullah; Erik Schultheis; Mike Lasby; Yani Ioannou; Rohit Babbar (CoRR, 2024)

Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers? - Nasib Ullah; Erik Schultheis; Jinbin Zhang; Rohit Babbar (CoRR, 2024)

Large Language Model as a Teacher for Zero-shot Tagging at Extreme Scales. - Jinbin Zhang; Nasib Ullah; Rohit Babbar (COLING, 2025)

How Well Calibrated are Extreme Multi-label Classifiers? An Empirical Analysis. - Nasib Ullah; Erik Schultheis; Jinbin Zhang; Rohit Babbar (KDD (1), 2025)