Object-Level Context Modeling For Scene Classification with Context-CNN. - Syed Ashar Javed; Anil Kumar Nelakanti (CoRR, 2017)

MergeNet: A Deep Net Architecture for Small Obstacle Discovery. - Krishnam Gupta; Syed Ashar Javed; Vineet Gandhi; K. Madhava Krishna (ICRA, 2018)

Learning Unsupervised Visual Grounding Through Semantic Self-Supervision. - Syed Ashar Javed; Shreyas Saxena; Vineet Gandhi (IJCAI, 2019)

Embodied Language Grounding with Implicit 3D Visual Feature Representations. - Mihir Prabhudesai; Hsiao-Yu Fish Tung; Syed Ashar Javed; Maximilian Sieb; Adam W. Harley; Katerina Fragkiadaki (CoRR, 2019)

Embodied Language Grounding With 3D Visual Feature Representations. - Mihir Prabhudesai; Hsiao-Yu Fish Tung; Syed Ashar Javed; Maximilian Sieb; Adam W. Harley; Katerina Fragkiadaki (CVPR, 2020)

CineFilter: Unsupervised Filtering for Real Time Autonomous Camera Systems. - Sudheer Achary; K. L. Bhanu Moorthy; Ashar Javed 003; Nikita Shravan; Vineet Gandhi; Anoop M. Namboodiri (WICED@Eurographics/EuroVis, 2020)

Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology. - Syed Ashar Javed; Dinkar Juyal; Harshith Padigela; Amaro Taylor-Weiner; Limin Yu; Aaditya Prakash (NeurIPS, 2022)

Rethinking Machine Learning Model Evaluation in Pathology. - Syed Ashar Javed; Dinkar Juyal; Zahil Shanis; Shreya Chakraborty; Harsha Pokkalla; Aaditya Prakash (CoRR, 2022)

Additive MIL: Intrinsic Interpretability for Pathology. - Syed Ashar Javed; Dinkar Juyal; Harshith Padigela; Amaro Taylor-Weiner; Limin Yu; Aaditya Prakash (CoRR, 2022)

SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology. - Dinkar Juyal; Siddhant Shingi; Syed Ashar Javed; Harshith Padigela; Chintan Shah; Anand Sampat; Archit Khosla; John Abel; Amaro Taylor-Weiner (WACV, 2024)

PLUTO: Pathology-Universal Transformer. - Dinkar Juyal; Harshith Padigela; Chintan Shah; Daniel Shenker; Natalia Harguindeguy; Yi Liu; Blake Martin; Yibo Zhang; Michael Nercessian; Miles Markey; Isaac Finberg; Kelsey Luu; et al. (CoRR, 2024)