Abhishek Aich

I am a Researcher at NEC Laboratories, America. Before this, I received my Ph.D. from University of California, Riverside in 2023, under the supervision of Prof. Amit K. Roy-Chowdhury.

During my Ph.D. studies, I was extremely fortunate to have interned at NEC Laboratories, America (2022), Mitsubishi Electric Research Laboratories (2021) and UII, America (2020).

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Research opportunities: I am happy to collaborate on projects involving (not limited to) vision-language models, adversarial attacks, and dynamic networks. If you are interested, please send me an email.



    Updates:

  Apr 2024: Paper accepted in CVPR2024 Workshop Efficient Deep Learning for Computer Vision CVPR Workshop 2024.
  Feb 2024: We organized the 2nd Workshop on Artificial Intelligence with Biased and Scarce Data, in conjunction with AAAI 2024.



    Publications/Submissions (*: joint first authors):
Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation
Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker
arXiv, 2024



Efficient Transformer Encoders for Mask2Former-style models
Manyi Yao, Abhishek Aich, Yumin Suh, Amit K. Roy-Chowdhury, Christian R. Shelton, Manmohan Chandraker
arXiv, 2024   [Code]



Improving the Efficiency-Accuracy Tradeoff of DETR-Style Models in Practice
Yumin Suh, Dongwan Kim, Abhishek Aich, Samuel Schulter, Jong-Chyi Su, Bohyung Han, Manmohan Chandraker
CVPR Workshop (Efficient Deep Learning for Computer Vision), 2024



Efficient Controllable Multi-Task Architectures
Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh
IEEE/CVF ICCV, 2023



GAMA: Generative Adversarial Multi-Object Scene Attacks
Abhishek Aich*, Calvin-Khang Ta*, Akash Gupta, Chengyu Song, Srikanth Krishnamurthy, M. Salman Asif, Amit K. Roy-Chowdhury
NeurIPS, 2022   [Project page]  [Code]



Cross-Domain Video Anomaly Detection without Target Domain Adaptation
Abhishek Aich, Kuan-Chuan Peng, Amit K. Roy-Chowdhury
IEEE/CVF WACV, 2023  



Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks
Abhishek Aich, Shasha Li, Chengyu Song, M. Salman Asif, Srikanth Krishnamurthy, Amit K. Roy-Chowdhury
IEEE/CVF WACV, 2023  



Poisson2Sparse: Self-Supervised Poisson Denoising From a Single Image
Calvin-Khang Ta*, Abhishek Aich*, Akash Gupta*, Amit K. Roy-Chowdhury
MICCAI, 2022   [Code]



Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations
Shasha Li*, Abhishek Aich*, Shitong Zhu, M. Salman Asif, Chengyu Song, Amit K. Roy-Chowdhury, Srikanth Krishnamurthy
NeurIPS, 2021   [Project page]  [Code]



Spatio-Temporal Representation Factorization for Video-based Person Re-Identification
Abhishek Aich, Meng Zheng, Srikrishna Karanam, Terrence Chen, Amit K. Roy-Chowdhury, Ziyan Wu
IEEE/CVF ICCV, 2021   [Project page]  



ALANET: Adaptive Latent Attention Network for Joint Video Deblurring and Interpolation
Akash Gupta, Abhishek Aich, Amit K. Roy-Chowdhury
ACM MM, 2020   [Project page]  [Code]



Non-Adversarial Video Synthesis with Learned Priors
Abhishek Aich*, Akash Gupta*, Rameswar Panda, Rakib Hyder, M. Salman Asif, Amit K. Roy-Chowdhury
IEEE/CVF CVPR, 2020   [Project page]  [Code]



Deep Quantized Representation for Enhanced Reconstruction
Akash Gupta, Abhishek Aich, Kevin Rodriguez, G. Venugopala Reddy, Amit K. Roy-Chowdhury
ISBI Workshop, 2020   [Code]


    Selected Older Publications:
A Novel CS Beamformer root-MUSIC Algorithm and its Subspace Deviation Analysis
Abhishek Aich, P. Palanisamy
IEEE Region 10 Conference (TENCON), 2017



A Strict Bound for Dimension of Measurement Matrix for CS Beamformer MUSIC Algorithm
Abhishek Aich, P. Palanisamy
IEEE Region 10 Conference (TENCON), 2016



On Application of OMP and CoSaMP Algorithms for DOA Estimation Problem
Abhishek Aich, P. Palanisamy
IEEE International Conference on Communication and Signal Processing (ICCSP), 2017



(Credits: When in Rome , do as the Romans do.)