The generalised maximum SINR array processor for personal communication systems in a multipath environment. - Dignus-Jan Moelker; Ashish Shah; Yeheskel Bar-Ness (PIMRC, 1996)

Chirico - a Framework for Computerization of Medical Practice Guidelines. - Clifton Davis; Christoph F. Eick; Balasubramanian Krishnamurthy; Ashish Shah; Lee Wanke (Int. J. Artif. Intell. Tools, 1996)

A single chip radio transceiver for DECT. - Simon Atkinson; Ashish Shah; Jonathan Strange (PIMRC, 1997)

Symphony: A Java-Based Composition and Manipulation Framework for Distributed Legacy Resources. - Ashish Shah; Dennis G. Kafura (PDSE, 1999)

Improving Query Performance Using Materialized XML Views: A Learning-Based Approach. - Ashish Shah; Rada Chirkova (ER (Workshops), 2003)

The Impact of DRMs on Personal Use Expectations and Fair Dealing Rights. - Margaret Jackson; Ashish Shah (ACSW, 2005)

Maelstrom: Mitigating Datacenter-level Disasters by Draining Interdependent Traffic Safely and Efficiently. - Kaushik Veeraraghavan; Justin Meza; Scott Michelson; Sankaralingam Panneerselvam; Alex Gyori; David Chou; Sonia Margulis; Daniel Obenshain; Shruti Padmanabha; Ashish Shah; Yee Jiun Song; Tianyin Xu (OSDI, 2018)

Self-appearance-aided Differential Evolution for Motion Transfer. - Peirong Liu; Rui Wang; Xuefei Cao; Yipin Zhou; Ashish Shah; Maxime Oquab; Camille Couprie; Ser-Nam Lim (CoRR, 2021)

MixNorm: Test-Time Adaptation Through Online Normalization Estimation. - Xuefeng Hu; M. Gökhan Uzunbas; Sirius Chen; Rui Wang; Ashish Shah; Ram Nevatia; Ser-Nam Lim (CoRR, 2021)

Object-Centric Unsupervised Image Captioning. - Zihang Meng; David Yang; Xuefei Cao; Ashish Shah; Ser-Nam Lim (ECCV (36), 2022)

Few-Shot Fast-Adaptive Anomaly Detection. - Ze Wang; Yipin Zhou; Rui Wang; Tsung-Yu Lin; Ashish Shah; Ser Nam Lim (NeurIPS, 2022)

A Unified Model for Tracking and Image-Video Detection Has More Power. - Peirong Liu; Rui Wang; Pengchuan Zhang; Omid Poursaeed; Yipin Zhou; Xuefei Cao; Sreya Dutta Roy; Ashish Shah; Ser-Nam Lim (CoRR, 2022)

Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning. - Jishnu Mukhoti; Tsung-Yu Lin; Omid Poursaeed; Rui Wang; Ashish Shah; Philip H. S. Torr; Ser-Nam Lim (CVPR, 2023)

Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding. - Mohamed Afham; Satya Narayan Shukla; Omid Poursaeed; Pengchuan Zhang; Ashish Shah; Sernam Lim (ICCV (Workshops), 2023)

Raising the Bar on the Evaluation of Out-of-Distribution Detection. - Jishnu Mukhoti; Tsung-Yu Lin; Bor-Chun Chen; Ashish Shah; Philip H. S. Torr; Puneet K. Dokania; Ser-Nam Lim (ICCV (Workshops), 2023)

Universal Pyramid Adversarial Training for Improved ViT Performance. - Ping-yeh Chiang; Yipin Zhou; Omid Poursaeed; Satya Narayan Shukla; Ashish Shah; Tom Goldstein; Ser-Nam Lim (CoRR, 2023)

MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding. - Bo He 004; Hengduo Li; Young Kyun Jang; Menglin Jia; Xuefei Cao; Ashish Shah; Abhinav Shrivastava; Ser-Nam Lim (CVPR, 2024)

Spherical Linear Interpolation and Text-Anchoring for Zero-Shot Composed Image Retrieval. - Young Kyun Jang; Dat Huynh; Ashish Shah; Wen-Kai Chen; Ser-Nam Lim (ECCV (19), 2024)

Intelligent Histology for Tumor Neurosurgery. - Xinhai Hou; Akhil Kondepudi; Cheng Jiang 003; Yiwei Lyu; Edward S. Harake; Asadur Chowdury; Anna-Katharina Meißner; Volker Neuschmelting; David Reinecke; Gina Furtjes; Georg Widhalm; Lisa Irina Koerner; et al. (CoRR, 2025)