Syed Ashar Javed

14 papers A* 4A 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	PLUTO-4: Frontier Pathology Foundation Models. CoRR Harshith Padigela, Shima Nofallah, Atchuth Naveen Chilaparasetti, Ryun Han, Andrew Walker, Judy Shen, Chintan Shah, Blake Martin, Aashish Sood, Elliot Miller, Ben Glass, Andy Beck, Harsha Pokkalla, Syed Ashar Javed
2024	J	`jnl`	PLUTO: Pathology-Universal Transformer. CoRR Dinkar Juyal, Harshith Padigela, Chintan Shah, Daniel Shenker, Natalia Harguindeguy, Yi Liu, Blake Martin, Yibo Zhang, Michael Nercessian, Miles Markey, Isaac Finberg, Kelsey Luu, Daniel Borders, Syed Ashar Javed, Emma Krause, Raymond Biju, Aashish Sood, Allen Ma, Jackson Nyman, John Shamshoian, Guillaume Chhor, Darpan Sanghavi, Marc Thibault, Limin Yu, Fedaa Najdawi, Jennifer A. Hipp, Darren Fahy, Benjamin Glass, Eric Walk, John Abel, Harsha Pokkalla, Andrew H. Beck, Sean Grullon
2024	A	`conf`	SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology. WACV Dinkar Juyal, Siddhant Shingi, Syed Ashar Javed, Harshith Padigela, Chintan Shah, Anand Sampat, Archit Khosla, John Abel, Amaro Taylor-Weiner
2023	J	`jnl`	SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology. CoRR Dinkar Juyal, Siddhant Shingi, Syed Ashar Javed, Harshith Padigela, Chintan Shah, Anand Sampat, Archit Khosla, John Abel, Amaro Taylor-Weiner
2022	J	`jnl`	Additive MIL: Intrinsic Interpretability for Pathology. CoRR Syed Ashar Javed, Dinkar Juyal, Harshith Padigela, Amaro Taylor-Weiner, Limin Yu, Aaditya Prakash
2022	A*	`conf`	Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology. NeurIPS Syed Ashar Javed, Dinkar Juyal, Harshith Padigela, Amaro Taylor-Weiner, Limin Yu, Aaditya Prakash
2022	J	`jnl`	Rethinking Machine Learning Model Evaluation in Pathology. CoRR Syed Ashar Javed, Dinkar Juyal, Zahil Shanis, Shreya Chakraborty, Harsha Pokkalla, Aaditya Prakash
2020	A*	`conf`	Embodied Language Grounding With 3D Visual Feature Representations. CVPR Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki
2019	J	`jnl`	Embodied Language Grounding with Implicit 3D Visual Feature Representations. CoRR Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki
2019	A*	`conf`	Learning Unsupervised Visual Grounding Through Semantic Self-Supervision. IJCAI Syed Ashar Javed, Shreyas Saxena, Vineet Gandhi
2018	J	`jnl`	Learning Unsupervised Visual Grounding Through Semantic Self-Supervision. CoRR Syed Ashar Javed, Shreyas Saxena, Vineet Gandhi
2018	A*	`conf`	MergeNet: A Deep Net Architecture for Small Obstacle Discovery. ICRA Krishnam Gupta, Syed Ashar Javed, Vineet Gandhi, K. Madhava Krishna
2018	J	`jnl`	MergeNet: A Deep Net Architecture for Small Obstacle Discovery. CoRR Krishnam Gupta, Syed Ashar Javed, Vineet Gandhi, K. Madhava Krishna
2017	J	`jnl`	Object-Level Context Modeling For Scene Classification with Context-CNN. CoRR Syed Ashar Javed, Anil Kumar Nelakanti