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Tickoo, Omesh
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1

Quantization for Bayesian Deep Learning: Low-Precision Char..:

, In: 2023 IEEE International Symposium on Workload Characterization (IISWC),
Lin, Jun-Liang ; Krishnan, Ranganath ; Ranipa, Keyur Ruganathbhai... - p. 180-192 , 2023
Link: https://doi.org/10.1109/..
 
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2

Neural Rate Estimator and Unsupervised Learning for Efficie..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Ahuja, Nilesh ; Datta, Parual ; Kanzariya, Bhavya.. - p. 2022-2030 , 2023
Link: https://doi.org/10.1109/..
 
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3

Reliable Multimodal Trajectory Prediction via Error Aligned..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022 Workshops,
Kose, Neslihan ; Krishnan, Ranganath ; Dhamasia, Akash.. - p. 443-458 , 2023
Link: https://doi.org/10.1007/..
 
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4

A Low-Complexity Approach to Rate-Distortion Optimized Vari..:

, In: 2022 26th International Conference on Pattern Recognition (ICPR),
Datta, Parual ; Ahuja, Nilesh ; Somayazulu, V. Srinivasa. - p. 182-188 , 2022
Link: https://doi.org/10.1109/..
 
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5

Subspace Modeling for Fast Out-Of-Distribution and Anomaly ..:

, In: 2022 IEEE International Conference on Image Processing (ICIP),
Ndiour, Ibrahima J. ; Ahuja, Nilesh A. ; Tickoo, Omesh - p. 3041-3045 , 2022
Link: https://doi.org/10.1109/..
 
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6

Continual Active Adaptation to Evolving Distributional Shif..:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),
Machireddy, Amrutha ; Krishnan, Ranganath ; Ahuja, Nilesh. - p. 3443-3449 , 2022
Link: https://doi.org/10.1109/..
 
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7

incDFM: Incremental Deep Feature Modeling for Continual Nov..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,
Rios, Amanda ; Ahuja, Nilesh ; Ndiour, Ibrahima... - p. 588-604 , 2022
Link: https://doi.org/10.1007/..
 
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8

Uncertainty as a Form of Transparency: Measuring, Communica..:

, In: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society,
Bhatt, Umang ; Antorán, Javier ; Zhang, Yunfeng... - p. 401-413 , 2021
Link: https://dl.acm.org/doi/1..
 
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9

Second Order Bifurcating Methodology for Neural Network Tra..:

, In: Pattern Recognition. ICPR International Workshops and Challenges; Lecture Notes in Computer Science,
Zamora Esquivel, Julio ; Vargas, Jesus Adan Cruz ; Tickoo, Omesh - p. 725-738 , 2021
Link: https://doi.org/10.1007/..
 
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10

Introducing Region Pooling Learning:

, In: Pattern Recognition. ICPR International Workshops and Challenges; Lecture Notes in Computer Science,
Vargas, Jesus Adan Cruz ; Esquivel, Julio Zamora ; Tickoo, Omesh - p. 714-724 , 2021
Link: https://doi.org/10.1007/..
 
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11

Semantic-Preserving Image Compression:

, In: 2020 IEEE International Conference on Image Processing (ICIP),
Patwa, Neel ; Ahuja, Nilesh ; Somayazulu, Srinivasa... - p. 1281-1285 , 2020
Link: https://doi.org/10.1109/..
 
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12

Adaptive Convolutional Kernels:

, In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW),
Zamora Esquivel, Julio ; Cruz Vargas, Adan ; Lopez Meyer, Paulo. - p. 1998-2005 , 2019
Link: https://doi.org/10.1109/..
 
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13

Uncertainty-Aware Audiovisual Activity Recognition Using De..:

, In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV),
Subedar, Mahesh ; Krishnan, Ranganath ; Meyer, Paulo Lopez.. - p. 6300-6309 , 2019
Link: https://doi.org/10.1109/..
 
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14

Efficient Priors for Scalable Variational Inference in Baye..:

, In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW),
Krishnan, Ranganath ; Subedar, Mahesh ; Tickoo, Omesh - p. 773-777 , 2019
Link: https://doi.org/10.1109/..
 
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15

Adaptive Activation Functions Using Fractional Calculus:

, In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW),
Zamora Esquivel, Julio ; Cruz Vargas, Adan ; Camacho Perez, Rodrigo... - p. 2006-2013 , 2019
Link: https://doi.org/10.1109/..
 
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