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Omesh Tickoo
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2020 – today
- 2024
- [c45]Vinay Kashyap, Nilesh A. Ahuja, Omesh Tickoo:
Compression without Compromise: Optimizing Point Cloud Object Detection with Bottleneck Architectures For Split Computing. ICME Workshops 2024: 1-6 - 2023
- [c44]Ibrahima J. Ndiour, Nilesh A. Ahuja, Ergin Utku Genc, Omesh Tickoo:
FRE: A Fast Method For Anomaly Detection And Segmentation. BMVC 2023: 614-616 - [c43]Nilesh A. Ahuja, Parual Datta, Bhavya Kanzariya, V. Srinivasa Somayazulu, Omesh Tickoo:
Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN models. CVPR 2023: 2022-2030 - [c42]Jun-Liang Lin
, Ranganath Krishnan, Keyur Ruganathbhai Ranipa, Mahesh Subedar, Vrushabh Sanghavi, Meena Arunachalam, Omesh Tickoo, Ravishankar Iyer, Mahmut Taylan Kandemir:
Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness. IISWC 2023: 180-192 - [i22]Alon Harell, Yalda Foroutan, Nilesh A. Ahuja, Parual Datta, Bhavya Kanzariya, V. Srinivasa Somayazulu, Omesh Tickoo, Anderson de Andrade, Ivan V. Bajic:
Rate-Distortion Theory in Coding for Machines and its Application. CoRR abs/2305.17295 (2023) - 2022
- [c41]Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo:
Partially-Supervised Novel Object Captioning Using Context from Paired Data. BMVC 2022: 649 - [c40]Amrutha Machireddy, Ranganath Krishnan, Nilesh A. Ahuja, Omesh Tickoo:
Continual Active Adaptation to Evolving Distributional Shifts. CVPR Workshops 2022: 3443-3449 - [c39]Neslihan Kose
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization. ECCV Workshops (5) 2022: 443-458 - [c38]Amanda Rios, Nilesh A. Ahuja, Ibrahima J. Ndiour, Ergin Utku Genc, Laurent Itti, Omesh Tickoo:
incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection. ECCV (25) 2022: 588-604 - [c37]Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo:
Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection. ICIP 2022: 3041-3045 - [c36]Parual Datta, Nilesh A. Ahuja, V. Srinivasa Somayazulu
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing. ICPR 2022: 182-188 - [i21]Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo:
Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection. CoRR abs/2203.10422 (2022) - [i20]Parual Datta, Nilesh A. Ahuja, V. Srinivasa Somayazulu
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing. CoRR abs/2208.11596 (2022) - [i19]Ibrahima J. Ndiour, Nilesh A. Ahuja, Ergin Utku Genc, Omesh Tickoo:
FRE: A Fast Method For Anomaly Detection And Segmentation. CoRR abs/2211.12650 (2022) - [i18]Neslihan Kose, Ranganath Krishnan, Akash Dhamasia, Omesh Tickoo, Michael Paulitsch:
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization. CoRR abs/2212.04812 (2022) - 2021
- [c35]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
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. AIES 2021: 401-413 - [c34]Chaunte Lacewell, Nilesh A. Ahuja, J. Pablo Munoz, Parual Datta, Ragaad AlTarawneh, Vui Seng Chua, Nilesh Jain, Omesh Tickoo, Ravi Iyer:
E2E Visual Analytics: Achieving >10X Edge/Cloud Optimizations. NAS 2021: 1-8 - [i17]Ergin Utku Genc, Nilesh A. Ahuja, Ibrahima J. Ndiour, Omesh Tickoo:
Energy-Based Anomaly Detection and Localization. CoRR abs/2105.03270 (2021) - [i16]Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo:
Data augmentation to improve robustness of image captioning solutions. CoRR abs/2106.05437 (2021) - [i15]Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo:
Partially-supervised novel object captioning leveraging context from paired data. CoRR abs/2109.05115 (2021) - [i14]Ranganath Krishnan, Alok Sinha, Nilesh A. Ahuja, Mahesh Subedar, Omesh Tickoo, Ravi Iyer:
Mitigating Sampling Bias and Improving Robustness in Active Learning. CoRR abs/2109.06321 (2021) - [i13]Ranganath Krishnan, Nilesh A. Ahuja, Alok Sinha, Mahesh Subedar, Omesh Tickoo, Ravi Iyer:
Improving Robustness and Efficiency in Active Learning with Contrastive Loss. CoRR abs/2109.06873 (2021) - 2020
- [c33]Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo:
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes. AAAI 2020: 4477-4484 - [c32]Neel Patwa, Nilesh A. Ahuja, V. Srinivasa Somayazulu
Semantic-Preserving Image Compression. ICIP 2020: 1281-1285 - [c31]Jesus Adan Cruz Vargas, Julio Zamora-Esquivel, Omesh Tickoo:
Introducing Region Pooling Learning. ICPR Workshops (1) 2020: 714-724 - [c30]Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, Omesh Tickoo:
Second Order Bifurcating Methodology for Neural Network Training and Topology Optimization. ICPR Workshops (1) 2020: 725-738 - [c29]Ranganath Krishnan, Omesh Tickoo:
Improving model calibration with accuracy versus uncertainty optimization. NeurIPS 2020 - [i12]Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo:
B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning. CoRR abs/2004.02435 (2020) - [i11]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:
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. CoRR abs/2011.07586 (2020) - [i10]Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo:
Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features. CoRR abs/2012.04250 (2020) - [i9]Ranganath Krishnan, Omesh Tickoo:
Improving model calibration with accuracy versus uncertainty optimization. CoRR abs/2012.07923 (2020)
2010 – 2019
- 2019
- [c28]Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang:
Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference. CVPR Workshops 2019: 103-108 - [c27]Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang:
Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference. ICCV 2019: 6300-6309 - [c26]Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo:
Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural Networks. ICCV Workshops 2019: 773-777 - [c25]Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, Paulo Lopez-Meyer, Omesh Tickoo:
Adaptive Convolutional Kernels. ICCV Workshops 2019: 1998-2005 - [c24]Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, José Rodrigo Camacho Pérez, Paulo Lopez-Meyer, Héctor A. Cordourier, Omesh Tickoo:
Adaptive Activation Functions Using Fractional Calculus. ICCV Workshops 2019: 2006-2013 - [i8]Javier Felip, Nilesh A. Ahuja, David Gómez-Gutiérrez, Omesh Tickoo, Vikash Mansinghka:
Real-time Approximate Bayesian Computation for Scene Understanding. CoRR abs/1905.13307 (2019) - [i7]Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo:
MOPED: Efficient priors for scalable variational inference in Bayesian deep neural networks. CoRR abs/1906.05323 (2019) - [i6]Nilesh A. Ahuja, Ibrahima J. Ndiour, Trushant Kalyanpur, Omesh Tickoo:
Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection. CoRR abs/1909.11786 (2019) - [i5]Mahesh Subedar, Nilesh A. Ahuja, Ranganath Krishnan, Ibrahima J. Ndiour, Omesh Tickoo:
Deep Probabilistic Models to Detect Data Poisoning Attacks. CoRR abs/1912.01206 (2019) - [i4]Javier Felip, Nilesh A. Ahuja, Omesh Tickoo:
Tree pyramidal adaptive importance sampling. CoRR abs/1912.08434 (2019) - 2018
- [c23]Tanay Karnik, Dileep Kurian, Paolo A. Aseron, Richard Dorrance
A cm-scale self-powered intelligent and secure IoT edge mote featuring an ultra-low-power SoC in 14nm tri-gate CMOS. ISSCC 2018: 46-48 - [c22]Srenivas Varadarajan, Parual Datta, Omesh Tickoo:
A Greedy Part Assignment Algorithm for Real-Time Multi-person 2D Pose Estimation. WACV 2018: 418-426 - [i3]Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo:
BAR: Bayesian Activity Recognition using variational inference. CoRR abs/1811.03305 (2018) - [i2]Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang:
Uncertainty aware multimodal activity recognition with Bayesian inference. CoRR abs/1811.10811 (2018) - 2017
- [j6]Vui Seng Chua, Julio Zamora-Esquivel, Anindya Sao Paul, Thawee Techathamnukool, Carlos Flores Fajardo, Nilesh Jain, Omesh Tickoo, Ravi R. Iyer:
Visual IoT: Ultra-Low-Power Processing Architectures and Implications. IEEE Micro 37(6): 52-61 (2017) - [c21]Javier Felip, David Gonzalez-Aguirre, Omesh Tickoo:
Towards intuitive rigid-body physics through parameter search. Humanoids 2017: 803-810 - [c20]Nilesh A. Ahuja, Mahesh Subedar, Omesh Tickoo, Yeongseon Lee:
A Factorization Approach for Enabling Structure-from-Motion/SLAM Using Integer Arithmetic. ICCV Workshops 2017: 554-562 - [c19]Shao-Wen Yang, Omesh Tickoo, Yen-Kuang Chen:
A framework for visual fog computing. ISCAS 2017: 1-4 - [i1]Srenivas Varadarajan, Parual Datta, Omesh Tickoo:
A Greedy Part Assignment Algorithm for Real-time Multi-person 2D Pose Estimation. CoRR abs/1708.09182 (2017) - 2015
- [c18]Mi Sun Park, Omesh Tickoo, Vijaykrishnan Narayanan, Mary Jane Irwin, Ravi Iyer:
Platform-aware dynamic configuration support for efficient text processing on heterogeneous system. DATE 2015: 1503-1508 - [c17]Teahyung Lee, Myung Hwangbo, Tanfer Alan, Omesh Tickoo, Ravishankar R. Iyer:
Low-complexity HOG for efficient video saliency. ICIP 2015: 3749-3752 - [c16]Paulo Lopez-Meyer, Héctor A. Cordourier Maruri, Arturo Quinto-Martinez, Omesh Tickoo:
Analyzing Artificial Neural Networks and Dynamic Time Warping for spoken keyword recognition under transient noise conditions. ICST 2015: 274-277 - [c15]Shayok Chakraborty, Omesh Tickoo, Ravishankar R. Iyer:
Towards Distributed Video Summarization. ACM Multimedia 2015: 883-886 - [c14]Shayok Chakraborty, Omesh Tickoo, Ravi Iyer:
Adaptive Keyframe Selection for Video Summarization. WACV 2015: 702-709 - 2013
- [c13]Heungsik Eom, Pierre St. Juste, Renato J. O. Figueiredo
OpenCL-Based Remote Offloading Framework for Trusted Mobile Cloud Computing. ICPADS 2013: 240-248 - [c12]Heungsik Eom, Pierre St. Juste, Renato J. O. Figueiredo
Machine Learning-Based Runtime Scheduler for Mobile Offloading Framework. UCC 2013: 17-25 - 2012
- [c11]Heungsik Eom, Pierre St. Juste, Renato J. O. Figueiredo
SNARF: a social networking-inspired accelerator remoting framework. MCC@SIGCOMM 2012: 29-34 - 2011
- [j5]Ravi R. Iyer, Sadagopan Srinivasan, Omesh Tickoo, Zhen Fang, Ramesh Illikkal, Steven Zhang, Vineet Chadha, Paul M. Stillwell, Seung Eun Lee:
CogniServe: Heterogeneous Server Architecture for Large-Scale Recognition. IEEE Micro 31(3): 20-31 (2011)
2000 – 2009
- 2009
- [j4]Ravi R. Iyer, Ramesh Illikkal, Omesh Tickoo, Li Zhao, Padma Apparao, Don Newell:
VM3: Measuring, modeling and managing VM shared resources. Comput. Networks 53(17): 2873-2887 (2009) - [j3]Omesh Tickoo, Ravi R. Iyer, Ramesh Illikkal, Don Newell:
Modeling virtual machine performance: challenges and approaches. SIGMETRICS Perform. Evaluation Rev. 37(3): 55-60 (2009) - [c10]Paul M. Stillwell, Vineet Chadha, Omesh Tickoo, Steven Zhang, Ramesh Illikkal, Ravishankar R. Iyer, Don Newell:
HiPPAI: High Performance Portable Accelerator Interface for SoCs. HiPC 2009: 109-118 - [c9]Srihari Makineni, Omesh Tickoo, Aaron Terrell, Jessica Young, Don Newell:
Evaluating implications of Virtual Worlds on server architecture using Second Life. HiPC 2009: 453-462 - 2008
- [j2]Omesh Tickoo, Biplab Sikdar:
Modeling queueing and channel access delay in unsaturated IEEE 802.11 random access MAC based wireless networks. IEEE/ACM Trans. Netw. 16(4): 878-891 (2008) - 2007
- [c8]Omesh Tickoo, Hari Kannan, Vineet Chadha, Ramesh Illikkal, Ravi R. Iyer, Donald Newell:
qTLB: Looking Inside the Look-Aside Buffer. HiPC 2007: 107-118 - 2005
- [c7]Omesh Tickoo, Vijaynarayanan Subramanian, Shivkumar Kalyanaraman, K. K. Ramakrishnan:
LT-TCP: End-to-End Framework to Improve TCP Performance over Networks with Lossy Channels. IWQoS 2005: 81-93 - 2004
- [c6]Omesh Tickoo, Biplab Sikdar:
A queueing model for finite load IEEE 802.11 random access MAC. ICC 2004: 175-179 - [c5]Omesh Tickoo, Shivkumar Kalyanaraman, John W. Woods:
Efficient path aggregation and error control for video streaming. ICIP 2004: 3137-3140 - [c4]Omesh Tickoo, Biplab Sikdar:
Queueing Analysis and Delay Mitigation in IEEE 802.11 Random Access MAC based Wireless Networks. INFOCOM 2004: 1404-1413 - 2003
- [j1]Omesh Tickoo, Biplab Sikdar:
On the impact of IEEE 802.11 MAC on traffic characteristics. IEEE J. Sel. Areas Commun. 21(2): 189-203 (2003) - [c3]Ivan V. Bajic, Omesh Tickoo, Anand Balan, Shivkumar Kalyanaraman, John W. Woods:
Integrated end-to-end buffer management and congestion control for scalable video communications. ICIP (3) 2003: 257-260 - [c2]Omesh Tickoo, Satish Raghunath, Shivkumar Kalyanaraman:
Route fragility: a novel metric for route selection in mobile ad hoc networks. ICON 2003: 537-542 - 2002
- [c1]Omesh Tickoo, Biplab Sikdar:
Modeling and analysis of traffic characteristics in IEEE 802.11 MAC based networks. GLOBECOM 2002: 67-71
Coauthor Index
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last updated on 2024-11-13 23:53 CET by the dblp team
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