Wesam A. Sakla

19 papers A* 1A 1B 1Misc 3Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ProtAlign: Contrastive learning paradigm for Sequence and structure alignment. CoRR Aditya Ranganath, Hasin Us Sami, Kowshik Thopalli, Bhavya Kailkhura, Wesam A. Sakla
2025	J	`jnl`	Interpretable and Steerable Concept Bottleneck Sparse Autoencoders. CoRR Akshay Kulkarni, Tsui-Wei Weng, Vivek Sivaraman Narayanaswamy, Shusen Liu, Wesam A. Sakla, Kowshik Thopalli
2025	Misc	`conf`	Leveraging Registers in Vision Transformers for Robust Adaptation. ICASSP Srikar Yellapragada, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Wesam A. Sakla, Yang Liu, Yamen Mubarka, Dimitris Samaras, Jayaraman J. Thiagarajan
2025	J	`jnl`	Leveraging Registers in Vision Transformers for Robust Adaptation. CoRR Srikar Yellapragada, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Wesam A. Sakla, Yang Liu, Yamen Mubarka, Dimitris Samaras, Jayaraman J. Thiagarajan
2025	—	`conf`	VERIRAG: Healthcare Claim Verification via Statistical Audit in Retrieval-Augmented Generation. BCB Shubham Mohole, Hongjun Choi, Shusen Liu, Christine Klymko, Shashank Kushwaha, Derek Shi, Wesam A. Sakla, Sainyam Galhotra, Ruben Glatt
2025	J	`jnl`	VERIRAG: Healthcare Claim Verification via Statistical Audit in Retrieval-Augmented Generation. CoRR Shubham Mohole, Hongjun Choi, Shusen Liu, Christine Klymko, Shashank Kushwaha, Derek Shi, Wesam A. Sakla, Sainyam Galhotra, Ruben Glatt
2024	A*	`conf`	On the Use of Anchoring for Training Vision Models. NeurIPS Vivek Sivaraman Narayanaswamy, Kowshik Thopalli, Rushil Anirudh, Yamen Mubarka, Wesam A. Sakla, Jayaraman J. Thiagarajan
2024	J	`jnl`	On the Use of Anchoring for Training Vision Models. CoRR Vivek Sivaraman Narayanaswamy, Kowshik Thopalli, Rushil Anirudh, Yamen Mubarka, Wesam A. Sakla, Jayaraman J. Thiagarajan
2022	J	`jnl`	On-the-fly Object Detection using StyleGAN with CLIP Guidance. CoRR Yuzhe Lu, Shusen Liu, Jayaraman J. Thiagarajan, Wesam A. Sakla, Rushil Anirudh
2021	Misc	`conf`	Generative Information Fusion. ICASSP Kenneth Tran, Wesam A. Sakla, Hamid Krim
2019	Misc	`conf`	Nonlinear Multi-scale Super-resolution Using Deep Learning. ICASSP Kenneth Tran, Ashkan Panahi, Aniruddha Adiga, Wesam A. Sakla, Hamid Krim
2019	J	`jnl`	Remote Sensor Design for Visual Recognition With Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. Lucas Jaffe, Michael E. Zelinski, Wesam A. Sakla
2019	—	`conf`	Semantic Segmentation of Clouds in Satellite Imagery Using Deep Pre-trained U-Nets. AIPR Cindy Gonzales, Wesam A. Sakla
2018	J	`jnl`	Metric Driven Classification: A Non-Parametric Approach Based on the Henze-Penrose Test Statistic. IEEE Trans. Image Process. Sally Ghanem, Hamid Krim, Hamilton Scott Clouse, Wesam A. Sakla
2017	A	`conf`	Deep Multi-modal Vehicle Detection in Aerial ISR Imagery. WACV Wesam A. Sakla, Goran Konjevod, T. Nathan Mundhenk
2016	—	`conf`	A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning. ECCV (3) T. Nathan Mundhenk, Goran Konjevod, Wesam A. Sakla, Kofi Boakye
2016	J	`jnl`	A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning. CoRR T. Nathan Mundhenk, Goran Konjevod, Wesam A. Sakla, Kofi Boakye
2016	B	`conf`	Non-parametric bounds on the nearest neighbor classification accuracy based on the Henze-Penrose metric. ICIP Sally Ghanem, Erik Skau, Hamid Krim, Hamilton Scott Clouse, Wesam A. Sakla
2015	—	`conf`	Weighted Nonlinear Line Attractor for Complex Manifold Learning. IJCCI (Selected Papers) Theus H. Aspiras, Vijayan K. Asari, Wesam A. Sakla