Abhishek Aich

Researcher at NEC Laboratories America

About

AI/CV Research Scientist at NEC Laboratories America (Media Analytics Department, led by Manmohan Chandraker), building next-generation vision–language and agentic systems for real-world perception. Specializing in agentic workflows, multimodal RAG, and vision–language systems, with an emphasis on bridging foundation models and deployable solutions. I have 4+ years of industry experience taking research from 0→1 into production-oriented systems, and a strong first-author (main-track) publication record in NeurIPS, CVPR, ICCV, and ICLR.

Ph.D. (2023) from UC Riverside (Vision and Learning Group), advised by Prof. Amit K. Roy-Chowdhury.

Agentic AI Vision-language models Open-vocab perception Multimodal RAG

Experience

NEC Labs America

Researcher

2023 - Present

NEC Labs America

Intern

2022

MERL

Intern

2021

UII America

Intern

2020

CV Google Scholar GitHub LinkedIn

Research opportunities: I’m happy to collaborate on projects involving (not limited to) agentic AI, vision-language models, open-vocab perception, and multimodal RAG. If you are interested, please send me an email.

Updates

Selected highlights from recent activity

Workshops & Service

News

Selected Publications

See Google Scholar for complete list.

What to Test Next: Interpretable Coverage Gap Discovery in Driving VLMs

Abhishek Aich, Sparsh Garg, Vijay Kumar BG, Turgun Yusuf Kashgari, Manmohan Chandraker

arXiv preprint, 2026

Paper

Driving Video Retrieval for Complex Queries with Structured Grounding

Manyi Yao, Sparsh Garg, Christian Shelton, Amit Roy-Chowdhury, Abhishek Aich

arXiv preprint, 2026

Paper

HorizonWeaver: Generalizable Multi-Level Semantic Editing for Driving Scenes

Mauricio Soroco, Francesco Pittaluga, Zaid Tasneem, Abhishek Aich, Bingbing Zhuang, Wuyang Chen, Manmohan Chandraker, Ziyu Jiang

CVPR Findings, 2026

Paper

iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning

Manyi Yao, Bingbing Zhuang, Sparsh Garg, Amit Roy-Chowdhury, Christian Shelton, Manmohan Chandraker, Abhishek Aich

NeurIPS 2025

Paper

Mapillary Vistas Validation for Fine-Grained Traffic Signs: A Benchmark Revealing Vision-Language Model Limitations

Sparsh Garg, Abhishek Aich

ICCV Workshop (4th DataCV Workshop & Challenge), 2025

Paper Code/Dataset

Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation

Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker

ICLR 2025

Paper Code

Image-Specific Adaptation of Transformer Encoders for Compute-Efficient Segmentation

Manyi Yao, Abhishek Aich, Yumin Suh, Amit K. Roy-Chowdhury, Christian R. Shelton, Manmohan Chandraker

WACV Workshop (5th Workshop on Image/Video/Audio Quality Assessment in Computer Vision, VLM and Diffusion Model), 2026

Paper Code

Efficient Controllable Multi-Task Architectures

Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh

ICCV 2023

Paper

Cross-Domain Video Anomaly Detection without Target Domain Adaptation

Abhishek Aich, Kuan-Chuan Peng, Amit K. Roy-Chowdhury

WACV 2023

Paper

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

WACV 2023

Paper

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

Paper Code

Poisson2Sparse: Self-Supervised Poisson Denoising From a Single Image

Calvin-Khang Ta*, Abhishek Aich*, Akash Gupta*, Amit K. Roy-Chowdhury

MICCAI 2022

Paper 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

Paper 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

ICCV 2021

Paper

ALANET: Adaptive Latent Attention Network for Joint Video Deblurring and Interpolation

Akash Gupta, Abhishek Aich, Amit K. Roy-Chowdhury

ACM MM 2020

Paper Code

Non-Adversarial Video Synthesis with Learned Priors

Abhishek Aich*, Akash Gupta*, Rameswar Panda, Rakib Hyder, M. Salman Asif, Amit K. Roy-Chowdhury

CVPR 2020

Paper Code

Mentorship