Omesh Tickoo - RankMe

85 papers A* 6A 6B 9C 2Misc 5Journal 37Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	EigenTrack: Spectral Activation Feature Tracking for Hallucination and Out-of-Distribution Detection in LLMs and VLMs. CoRR Davide Ettori, Nastaran Darabi, Sina Tayebati, Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo, Amit Ranjan Trivedi
2025	Misc	`conf`	FUVAS: Few-shot Unsupervised Video Anomaly Segmentation via Low-Rank Factorization of Spatio-Temporal Features. ICASSP Jiaxiang Jiang, Ibrahima J. Ndiour, Mahesh Subedar, Omesh Tickoo
2025	J	`jnl`	PEFA-AI: Advancing Open-source LLMs for RTL generation using Progressive Error Feedback Agentic-AI. CoRR Athma Narayanan, Mahesh Subedar, Omesh Tickoo
2025	J	`jnl`	Parts-Mamba: Augmenting Joint Context with Part-Level Scanning for Occluded Human Skeleton. CoRR Tianyi Shen, Huijuan Xu, Nilesh Ahuja, Omesh Tickoo, Philip Shin, Vijaykrishnan Narayanan
2025	J	`jnl`	Rate-Distortion Theory in Coding for Machines and Its Applications. IEEE Trans. Pattern Anal. Mach. Intell. Alon Harell, Yalda Foroutan, Nilesh A. Ahuja, Parual Datta, Bhavya Kanzariya, V. Srinivasa Somayazulu, Omesh Tickoo, Anderson de Andrade, Ivan V. Bajic
2025	J	`jnl`	Windsock is Dancing: Adaptive Multimodal Retrieval-Augmented Generation. CoRR Shu Zhao, Tianyi Shen, Nilesh A. Ahuja, Omesh Tickoo, Vijaykrishnan Narayanan
2024	J	`jnl`	CONCLAD: COntinuous Novel CLAss Detector. CoRR Amanda Rios, Ibrahima J. Ndiour, Parual Datta, Omesh Tickoo, Nilesh A. Ahuja
2024	J	`jnl`	CUAL: Continual Uncertainty-aware Active Learner. CoRR Amanda Rios, Ibrahima J. Ndiour, Parual Datta, Jerry Sydir, Omesh Tickoo, Nilesh A. Ahuja
2024	—	`conf`	Compression without Compromise: Optimizing Point Cloud Object Detection with Bottleneck Architectures For Split Computing. ICME Workshops Vinay Kashyap, Nilesh A. Ahuja, Omesh Tickoo
2024	J	`jnl`	Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning. CoRR Ranganath Krishnan, Piyush Khanna, Omesh Tickoo
2024	B	`conf`	Source-Free Continual Adaptive Learning With Limited Labels on Evolving Data Drifts. ICIP Amrutha Machireddy, Ranganath Krishnan, Athmanarayanan Lakshmi Narayanan, Omesh Tickoo
2024	—	`conf`	Split-DNN Computing for Video Analytics. ICPR (3) Nagabhushan Eswara, Jaroslaw Sydir, V. Srinivasa Somayazulu, Parual Datta, Nilesh A. Ahuja, Omesh Tickoo
2024	J	`jnl`	Uncertainty Quantification in Continual Open-World Learning. CoRR Amanda Sofie Rios, Ibrahima J. Ndiour, Parual Datta, Jaroslaw Sydir, Omesh Tickoo, Nilesh A. Ahuja
2023	A	`conf`	FRE: A Fast Method For Anomaly Detection And Segmentation. BMVC Ibrahima J. Ndiour, Nilesh A. Ahuja, Ergin Utku Genc, Omesh Tickoo
2023	A*	`conf`	Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN models. CVPR Nilesh A. Ahuja, Parual Datta, Bhavya Kanzariya, V. Srinivasa Somayazulu, Omesh Tickoo
2023	—	`conf`	Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness. IISWC Jun-Liang Lin, Ranganath Krishnan, Keyur Ruganathbhai Ranipa, Mahesh Subedar, Vrushabh Sanghavi, Meena Arunachalam, Omesh Tickoo, Ravishankar Iyer, Mahmut Taylan Kandemir
2023	J	`jnl`	Rate-Distortion Theory in Coding for Machines and its Application. CoRR Alon Harell, Yalda Foroutan, Nilesh A. Ahuja, Parual Datta, Bhavya Kanzariya, V. Srinivasa Somayazulu, Omesh Tickoo, Anderson de Andrade, Ivan V. Bajic
2022	B	`conf`	A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing. ICPR Parual Datta, Nilesh A. Ahuja, V. Srinivasa Somayazulu, Omesh Tickoo
2022	J	`jnl`	A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing. CoRR Parual Datta, Nilesh A. Ahuja, V. Srinivasa Somayazulu, Omesh Tickoo
2022	—	`conf`	Continual Active Adaptation to Evolving Distributional Shifts. CVPR Workshops Amrutha Machireddy, Ranganath Krishnan, Nilesh A. Ahuja, Omesh Tickoo
2022	J	`jnl`	FRE: A Fast Method For Anomaly Detection And Segmentation. CoRR Ibrahima J. Ndiour, Nilesh A. Ahuja, Ergin Utku Genc, Omesh Tickoo
2022	A	`conf`	Partially-Supervised Novel Object Captioning Using Context from Paired Data. BMVC Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo
2022	—	`conf`	Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization. ECCV Workshops (5) Neslihan Kose, Ranganath Krishnan, Akash Dhamasia, Omesh Tickoo, Michael Paulitsch
2022	J	`jnl`	Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization. CoRR Neslihan Kose, Ranganath Krishnan, Akash Dhamasia, Omesh Tickoo, Michael Paulitsch
2022	B	`conf`	Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection. ICIP Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo
2022	J	`jnl`	Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection. CoRR Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo
2022	—	`conf`	incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection. ECCV (25) Amanda Rios, Nilesh A. Ahuja, Ibrahima J. Ndiour, Ergin Utku Genc, Laurent Itti, Omesh Tickoo
2021	J	`jnl`	Data augmentation to improve robustness of image captioning solutions. CoRR Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo
2021	—	`conf`	E2E Visual Analytics: Achieving >10X Edge/Cloud Optimizations. NAS Chaunte Lacewell, Nilesh A. Ahuja, J. Pablo Munoz, Parual Datta, Ragaad AlTarawneh, Vui Seng Chua, Nilesh Jain, Omesh Tickoo, Ravi Iyer
2021	J	`jnl`	Energy-Based Anomaly Detection and Localization. CoRR Ergin Utku Genc, Nilesh A. Ahuja, Ibrahima J. Ndiour, Omesh Tickoo
2021	J	`jnl`	Improving Robustness and Efficiency in Active Learning with Contrastive Loss. CoRR Ranganath Krishnan, Nilesh A. Ahuja, Alok Sinha, Mahesh Subedar, Omesh Tickoo, Ravi Iyer
2021	J	`jnl`	Mitigating Sampling Bias and Improving Robustness in Active Learning. CoRR Ranganath Krishnan, Alok Sinha, Nilesh A. Ahuja, Mahesh Subedar, Omesh Tickoo, Ravi Iyer
2021	J	`jnl`	Partially-supervised novel object captioning leveraging context from paired data. CoRR Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo
2021	C	`conf`	Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. AIES Umang Bhatt, Javier Antorán, Yunfeng Zhang, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Madhulika Srikumar, Adrian Weller, Alice Xiang
2020	J	`jnl`	B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning. CoRR Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo
2020	A*	`conf`	Improving model calibration with accuracy versus uncertainty optimization. NeurIPS Ranganath Krishnan, Omesh Tickoo
2020	J	`jnl`	Improving model calibration with accuracy versus uncertainty optimization. CoRR Ranganath Krishnan, Omesh Tickoo
2020	—	`conf`	Introducing Region Pooling Learning. ICPR Workshops (1) Jesus Adan Cruz Vargas, Julio Zamora-Esquivel, Omesh Tickoo
2020	J	`jnl`	Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features. CoRR Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo
2020	—	`conf`	Second Order Bifurcating Methodology for Neural Network Training and Topology Optimization. ICPR Workshops (1) Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, Omesh Tickoo
2020	B	`conf`	Semantic-Preserving Image Compression. ICIP Neel Patwa, Nilesh A. Ahuja, V. Srinivasa Somayazulu, Omesh Tickoo, Srenivas Varadarajan, Shashidhar G. Koolagudi
2020	A*	`conf`	Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes. AAAI Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo
2020	J	`jnl`	Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. CoRR Umang Bhatt, Yunfeng Zhang, Javier Antorán, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Adrian Weller, Alice Xiang
2019	—	`conf`	Adaptive Activation Functions Using Fractional Calculus. ICCV Workshops Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, José Rodrigo Camacho Pérez, Paulo Lopez-Meyer, Héctor A. Cordourier, Omesh Tickoo
2019	—	`conf`	Adaptive Convolutional Kernels. ICCV Workshops Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, Paulo Lopez-Meyer, Omesh Tickoo
2019	J	`jnl`	Deep Probabilistic Models to Detect Data Poisoning Attacks. CoRR Mahesh Subedar, Nilesh A. Ahuja, Ranganath Krishnan, Ibrahima J. Ndiour, Omesh Tickoo
2019	—	`conf`	Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural Networks. ICCV Workshops Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo
2019	J	`jnl`	MOPED: Efficient priors for scalable variational inference in Bayesian deep neural networks. CoRR Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo
2019	J	`jnl`	Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection. CoRR Nilesh A. Ahuja, Ibrahima J. Ndiour, Trushant Kalyanpur, Omesh Tickoo
2019	J	`jnl`	Real-time Approximate Bayesian Computation for Scene Understanding. CoRR Javier Felip, Nilesh A. Ahuja, David Gómez-Gutiérrez, Omesh Tickoo, Vikash Mansinghka
2019	J	`jnl`	Tree pyramidal adaptive importance sampling. CoRR Javier Felip, Nilesh A. Ahuja, Omesh Tickoo
2019	—	`conf`	Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference. CVPR Workshops Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang
2019	A*	`conf`	Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference. ICCV Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang
2018	A	`conf`	A Greedy Part Assignment Algorithm for Real-Time Multi-person 2D Pose Estimation. WACV Srenivas Varadarajan, Parual Datta, Omesh Tickoo
2018	—	`conf`	A cm-scale self-powered intelligent and secure IoT edge mote featuring an ultra-low-power SoC in 14nm tri-gate CMOS. ISSCC Tanay Karnik, Dileep Kurian, Paolo A. Aseron, Richard Dorrance, Erkan Alpman, Angela Nicoara, Roman Popov, Leonid Azarenkov, Mikhail J. Moiseev, Li Zhao, Santosh Ghosh, Rafael Misoczki, Ankit Gupta, M. Akhila, Sriram Muthukumar, Saurabh Bhandari, Satish Yada, Kartik Jain, Robert Flory, Chanitnan Kanthapanit, Eduardo Quijano, Bradley Jackson, Hao Luo, Suhwan Kim, Vaibhav A. Vaidya, Adel Elsherbini, Renzhi Liu, Farhana Sheikh, Omesh Tickoo, Ilya Klotchkov, Manoj R. Sastry, Sheldon Sun, Mukesh Bhartiya, Anuradha Srinivasan, Yatin Hoskote, Hong Wang, Vivek De
2018	J	`jnl`	BAR: Bayesian Activity Recognition using variational inference. CoRR Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo
2018	J	`jnl`	Uncertainty aware multimodal activity recognition with Bayesian inference. CoRR Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang
2017	—	`conf`	A Factorization Approach for Enabling Structure-from-Motion/SLAM Using Integer Arithmetic. ICCV Workshops Nilesh A. Ahuja, Mahesh Subedar, Omesh Tickoo, Yeongseon Lee
2017	J	`jnl`	A Greedy Part Assignment Algorithm for Real-time Multi-person 2D Pose Estimation. CoRR Srenivas Varadarajan, Parual Datta, Omesh Tickoo
2017	C	`conf`	A framework for visual fog computing. ISCAS Shao-Wen Yang, Omesh Tickoo, Yen-Kuang Chen
2017	—	`conf`	Towards intuitive rigid-body physics through parameter search. Humanoids Javier Felip, David Gonzalez-Aguirre, Omesh Tickoo
2017	J	`jnl`	Visual IoT: Ultra-Low-Power Processing Architectures and Implications. IEEE Micro Vui Seng Chua, Julio Zamora-Esquivel, Anindya Sao Paul, Thawee Techathamnukool, Carlos Flores Fajardo, Nilesh Jain, Omesh Tickoo, Ravi R. Iyer
2015	A	`conf`	Adaptive Keyframe Selection for Video Summarization. WACV Shayok Chakraborty, Omesh Tickoo, Ravi Iyer
2015	A	`conf`	Analyzing Artificial Neural Networks and Dynamic Time Warping for spoken keyword recognition under transient noise conditions. ICST Paulo Lopez-Meyer, Héctor A. Cordourier Maruri, Arturo Quinto-Martinez, Omesh Tickoo
2015	B	`conf`	Low-complexity HOG for efficient video saliency. ICIP Teahyung Lee, Myung Hwangbo, Tanfer Alan, Omesh Tickoo, Ravishankar R. Iyer
2015	A	`conf`	Platform-aware dynamic configuration support for efficient text processing on heterogeneous system. DATE Mi Sun Park, Omesh Tickoo, Vijaykrishnan Narayanan, Mary Jane Irwin, Ravi Iyer
2015	A*	`conf`	Towards Distributed Video Summarization. ACM Multimedia Shayok Chakraborty, Omesh Tickoo, Ravishankar R. Iyer
2013	Misc	`conf`	Machine Learning-Based Runtime Scheduler for Mobile Offloading Framework. UCC Heungsik Eom, Pierre St. Juste, Renato J. O. Figueiredo, Omesh Tickoo, Ramesh Illikkal, Ravishankar R. Iyer
2013	B	`conf`	OpenCL-Based Remote Offloading Framework for Trusted Mobile Cloud Computing. ICPADS Heungsik Eom, Pierre St. Juste, Renato J. O. Figueiredo, Omesh Tickoo, Ramesh Illikkal, Ravishankar R. Iyer
2012	—	`conf`	SNARF: a social networking-inspired accelerator remoting framework. MCC@SIGCOMM Heungsik Eom, Pierre St. Juste, Renato J. O. Figueiredo, Omesh Tickoo, Ramesh Illikkal, Ravishankar R. Iyer
2011	J	`jnl`	CogniServe: Heterogeneous Server Architecture for Large-Scale Recognition. IEEE Micro Ravi R. Iyer, Sadagopan Srinivasan, Omesh Tickoo, Zhen Fang, Ramesh Illikkal, Steven Zhang, Vineet Chadha, Paul M. Stillwell, Seung Eun Lee
2009	Misc	`conf`	Evaluating implications of Virtual Worlds on server architecture using Second Life. HiPC Srihari Makineni, Omesh Tickoo, Aaron Terrell, Jessica Young, Don Newell
2009	Misc	`conf`	HiPPAI: High Performance Portable Accelerator Interface for SoCs. HiPC Paul M. Stillwell, Vineet Chadha, Omesh Tickoo, Steven Zhang, Ramesh Illikkal, Ravishankar R. Iyer, Don Newell
2009	J	`jnl`	Modeling virtual machine performance: challenges and approaches. SIGMETRICS Perform. Evaluation Rev. Omesh Tickoo, Ravi R. Iyer, Ramesh Illikkal, Don Newell
2009	J	`jnl`	VM Comput. Networks Ravi R. Iyer, Ramesh Illikkal, Omesh Tickoo, Li Zhao, Padma Apparao, Don Newell
2008	J	`jnl`	Modeling queueing and channel access delay in unsaturated IEEE 802.11 random access MAC based wireless networks. IEEE/ACM Trans. Netw. Omesh Tickoo, Biplab Sikdar
2007	Misc	`conf`	qTLB: Looking Inside the Look-Aside Buffer. HiPC Omesh Tickoo, Hari Kannan, Vineet Chadha, Ramesh Illikkal, Ravi R. Iyer, Donald Newell
2005	B	`conf`	LT-TCP: End-to-End Framework to Improve TCP Performance over Networks with Lossy Channels. IWQoS Omesh Tickoo, Vijaynarayanan Subramanian, Shivkumar Kalyanaraman, K. K. Ramakrishnan
2004	—	`conf`	A queueing model for finite load IEEE 802.11 random access MAC. ICC Omesh Tickoo, Biplab Sikdar
2004	B	`conf`	Efficient path aggregation and error control for video streaming. ICIP Omesh Tickoo, Shivkumar Kalyanaraman, John W. Woods
2004	A*	`conf`	Queueing Analysis and Delay Mitigation in IEEE 802.11 Random Access MAC based Wireless Networks. INFOCOM Omesh Tickoo, Biplab Sikdar
2003	—	`conf`	Integrated end-to-end buffer management and congestion control for scalable video communications. ICIP (3) Ivan V. Bajic, Omesh Tickoo, Anand Balan, Shivkumar Kalyanaraman, John W. Woods
2003	J	`jnl`	On the impact of IEEE 802.11 MAC on traffic characteristics. IEEE J. Sel. Areas Commun. Omesh Tickoo, Biplab Sikdar
2003	—	`conf`	Route fragility: a novel metric for route selection in mobile ad hoc networks. ICON Omesh Tickoo, Satish Raghunath, Shivkumar Kalyanaraman
2002	B	`conf`	Modeling and analysis of traffic characteristics in IEEE 802.11 MAC based networks. GLOBECOM Omesh Tickoo, Biplab Sikdar