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2020 – today
- 2024
[c14]Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim:
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding. CVPR 2024: 13504-13514- [c13]Young Kyun Jang, Dat Huynh, Ashish Shah, Wen-Kai Chen, Ser-Nam Lim:
Spherical Linear Interpolation and Text-Anchoring for Zero-Shot Composed Image Retrieval. ECCV (19) 2024: 239-254 - [i10]Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim:
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding. CoRR abs/2404.05726 (2024) - [i9]Young Kyun Jang, Dat Huynh, Ashish Shah, Wen-Kai Chen, Ser-Nam Lim:
Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval. CoRR abs/2405.00571 (2024) - 2023
- [c12]Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H. S. Torr, Ser-Nam Lim:
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning. CVPR 2023: 19413-19423 - [c11]Mohamed Afham, Satya Narayan Shukla, Omid Poursaeed, Pengchuan Zhang, Ashish Shah, Sernam Lim:
Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding. ICCV (Workshops) 2023: 1181-1186 - [c10]Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H. S. Torr, Puneet K. Dokania, Ser-Nam Lim:
Raising the Bar on the Evaluation of Out-of-Distribution Detection. ICCV (Workshops) 2023: 4367-4377 - [i8]Mohamed Afham, Satya Narayan Shukla, Omid Poursaeed, Pengchuan Zhang, Ashish Shah, Sernam Lim:
Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding. CoRR abs/2309.11569 (2023) - [i7]Ping-yeh Chiang, Yipin Zhou, Omid Poursaeed, Satya Narayan Shukla, Ashish Shah, Tom Goldstein, Ser-Nam Lim:
Universal Pyramid Adversarial Training for Improved ViT Performance. CoRR abs/2312.16339 (2023) - 2022
- [c9]Zihang Meng, David Yang, Xuefei Cao, Ashish Shah, Ser-Nam Lim:
Object-Centric Unsupervised Image Captioning. ECCV (36) 2022: 219-235 - [c8]Ze Wang, Yipin Zhou, Rui Wang, Tsung-Yu Lin, Ashish Shah, Ser Nam Lim:
Few-Shot Fast-Adaptive Anomaly Detection. NeurIPS 2022 - [i6]Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H. S. Torr, Puneet K. Dokania, Ser-Nam Lim:
Raising the Bar on the Evaluation of Out-of-Distribution Detection. CoRR abs/2209.11960 (2022) - [i5]Peirong Liu, Rui Wang, Pengchuan Zhang, Omid Poursaeed, Yipin Zhou, Xuefei Cao, Sreya Dutta Roy, Ashish Shah, Ser-Nam Lim:
A Unified Model for Tracking and Image-Video Detection Has More Power. CoRR abs/2211.11077 (2022) - [i4]Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H. S. Torr, Ser-Nam Lim:
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning. CoRR abs/2212.04994 (2022) - 2021
- [i3]Peirong Liu, Rui Wang, Xuefei Cao, Yipin Zhou, Ashish Shah, Maxime Oquab, Camille Couprie, Ser-Nam Lim:
Self-appearance-aided Differential Evolution for Motion Transfer. CoRR abs/2110.04658 (2021) - [i2]Xuefeng Hu, M. Gökhan Uzunbas, Sirius Chen, Rui Wang, Ashish Shah, Ram Nevatia, Ser-Nam Lim:
MixNorm: Test-Time Adaptation Through Online Normalization Estimation. CoRR abs/2110.11478 (2021) - [i1]Zihang Meng, David Yang, Xuefei Cao, Ashish Shah, Ser-Nam Lim:
Object-Centric Unsupervised Image Captioning. CoRR abs/2112.00969 (2021)
2010 – 2019
- 2018
- [c7]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:
Maelstrom: Mitigating Datacenter-level Disasters by Draining Interdependent Traffic Safely and Efficiently. OSDI 2018: 373-389
2000 – 2009
- 2005
- [c6]Margaret Jackson, Ashish Shah:
The Impact of DRMs on Personal Use Expectations and Fair Dealing Rights. ACSW 2005: 119-126 - 2003
- [c5]Ashish Shah, Rada Chirkova:
Improving Query Performance Using Materialized XML Views: A Learning-Based Approach. ER (Workshops) 2003: 297-310
1990 – 1999
- 1999
- [c4]Ashish Shah, Dennis G. Kafura:
Symphony: A Java-Based Composition and Manipulation Framework for Distributed Legacy Resources. PDSE 1999: 2-12 - 1997
- [c3]Simon Atkinson, Ashish Shah, Jonathan Strange:
A single chip radio transceiver for DECT. PIMRC 1997: 840-843 - 1996
- [j1]Clifton Davis, Christoph F. Eick, Balasubramanian Krishnamurthy, Ashish Shah, Lee Wanke:
Chirico - a Framework for Computerization of Medical Practice Guidelines. Int. J. Artif. Intell. Tools 5(1-2): 219-228 (1996) - [c2]Dignus-Jan Moelker, Ashish Shah, Yeheskel Bar-Ness:
The generalised maximum SINR array processor for personal communication systems in a multipath environment. PIMRC 1996: 531-534 - 1995
- [c1]Clifton Davis, Christoph F. Eick, Balasubramanian Krishnamurthy, Ashish Shah, Lee Wanke:
Chirico-a framework for computerization of medical practice guidelines. ICTAI 1995: 224-227
Coauthor Index
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