Overlapping cell nuclei segmentation in microscopic images using deep belief networks. - Rahul Duggal; Anubha Gupta; Ritu Gupta; Manya Wadhwa; Chirag Ahuja (ICVGIP, 2016)

Design of Image Matched Non-Separable Wavelet using Convolutional Neural Network. - Naushad Ansari; Anubha Gupta; Rahul Duggal (CoRR, 2016)

P-TELU: Parametric Tan Hyperbolic Linear Unit Activation for Deep Neural Networks. - Anubha Gupta; Rahul Duggal (ICCV Workshops, 2017)

SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging. - Rahul Duggal; Anubha Gupta; Ritu Gupta; Pramit Mallick (MICCAI (3), 2017)

2017 Robotic Instrument Segmentation Challenge. - Max Allan; Alexey Shvets; Thomas Kurmann; Zichen Zhang 001; Rahul Duggal; Yun-Hsuan Su; Nicola Rieke; Iro Laina; Niveditha Kalavakonda; Sebastian Bodenstedt; Luis C. García-Peraza; Wenqi Li 001; et al. (CoRR, 2019)

CUP: Cluster Pruning for Compressing Deep Neural Networks. - Rahul Duggal; Cao Xiao; Richard W. Vuduc; Jimeng Sun 001 (CoRR, 2019)

REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. - Rahul Duggal; Scott Freitas; Cao Xiao; Duen Horng Chau; Jimeng Sun 001 (WWW, 2020)

ELF: An Early-Exiting Framework for Long-Tailed Classification. - Rahul Duggal; Scott Freitas; Sunny Dhamnani; Duen Horng Chau; Jimeng Sun 001 (CoRR, 2020)

GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images. - Anubha Gupta; Rahul Duggal; Shiv Gehlot; Ritu Gupta; Anvit Mangal; Lalit Kumar; Nisarg Thakkar; Devprakash Satpathy (Medical Image Anal., 2020)

HAR: Hardness Aware Reweighting for Imbalanced Datasets. - Rahul Duggal; Scott Freitas; Sunny Dhamnani; Duen Horng Chau; Jimeng Sun 001 (IEEE BigData, 2021)

CUP: Cluster Pruning for Compressing Deep Neural Networks. - Rahul Duggal; Cao Xiao; Richard W. Vuduc; Duen Horng Chau; Jimeng Sun 001 (IEEE BigData, 2021)

Compatibility-Aware Heterogeneous Visual Search. - Rahul Duggal; Hao Zhou; Shuo Yang 003; Yuanjun Xiong; Wei Xia; Zhuowen Tu; Stefano Soatto (CVPR, 2021)

MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software. - Scott Freitas; Rahul Duggal; Duen Horng Chau (CoRR, 2021)

MalNet: A Large-Scale Image Database of Malicious Software. - Scott Freitas; Rahul Duggal; Duen Horng Chau (CIKM, 2022)

Towards Regression-Free Neural Networks for Diverse Compute Platforms. - Rahul Duggal; Hao Zhou; Shuo Yang 003; Jun Fang; Yuanjun Xiong; Wei Xia (ECCV (37), 2022)

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. - Haekyu Park; Seongmin Lee 007; Benjamin Hoover; Austin P. Wright; Omar Shaikh; Rahul Duggal; Nilaksh Das; Judy Hoffman; Duen Horng Chau (CoRR, 2022)

IMB-NAS: Neural Architecture Search for Imbalanced Datasets. - Rahul Duggal; Shengyun Peng; Hao Zhou; Duen Horng Chau (CoRR, 2022)

NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. - Haekyu Park; Nilaksh Das; Rahul Duggal; Austin P. Wright; Omar Shaikh; Fred Hohman; Duen Horng (Polo) Chau (IEEE Trans. Vis. Comput. Graph., 2022)

Robust Efficient Edge AI: New Principles and Frameworks for Empowering Artificial Intelligence on Edge Devices. - Rahul Duggal (2022)

Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract). - Kevin Li; Rahul Duggal; Duen Horng Chau (AAAI, 2023)

Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. - Shengyun Peng; Weilin Xu; Cory Cornelius; Matthew Hull; Kevin Li; Rahul Duggal; Mansi Phute; Jason Martin; Duen Horng Chau (BMVC, 2023)

Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. - Haekyu Park; Seongmin Lee 007; Benjamin Hoover; Austin P. Wright; Omar Shaikh; Rahul Duggal; Nilaksh Das; Kevin Li; Judy Hoffman; Duen Horng Chau (CIKM, 2023)

RobArch: Designing Robust Architectures against Adversarial Attacks. - Sheng-Yun Peng; Weilin Xu; Cory Cornelius; Kevin Li; Rahul Duggal; Duen Horng Chau; Jason Martin (CoRR, 2023)

Open-World Dynamic Prompt and Continual Visual Representation Learning. - Youngeun Kim; Jun Fang; Qin Zhang; Zhaowei Cai; Yantao Shen 002; Rahul Duggal; Dripta S. Raychaudhuri; Zhuowen Tu; Yifan Xing; Onkar Dabeer (ECCV (49), 2024)

Robustness Preserving Fine-Tuning Using Neuron Importance. - Guangrui Li 005; Rahul Duggal; Aaditya Singh; Kaustav Kundu; Bing Shuai; Jonathan Wu (ECCV (68), 2024)