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Gowda, Shreyank N
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1

Synthetic Sample Selection for Generalized Zero-Shot Learni..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),
Gowda, Shreyank N - p. 58-67 , 2023
Link: https://doi.org/10.1109/..
 
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2

Learn2Augment: Learning to Composite Videos for Data Augmen..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,
Gowda, Shreyank N. ; Rohrbach, Marcus ; Keller, Frank. - p. 242-259 , 2022
Link: https://doi.org/10.1007/..
 
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3

CLASTER: Clustering with Reinforcement Learning for Zero-Sh..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,
Gowda, Shreyank N. ; Sevilla-Lara, Laura ; Keller, Frank. - p. 187-203 , 2022
Link: https://doi.org/10.1007/..
 
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4

A New Split for Evaluating True Zero-Shot Action Recognitio:

, In: Lecture Notes in Computer Science; Pattern Recognition,
Gowda, Shreyank N. ; Sevilla-Lara, Laura ; Kim, Kiyoon.. - p. 191-205 , 2021
Link: https://doi.org/10.1007/..
 
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5

StegColNet: Steganalysis Based on an Ensemble Colorspace Ap..:

, In: Lecture Notes in Computer Science; Structural, Syntactic, and Statistical Pattern Recognition,
Gowda, Shreyank N. ; Yuan, Chun - p. 313-323 , 2021
Link: https://doi.org/10.1007/..
 
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6

ColorNet: Investigating the Importance of Color Spaces for ..:

, In: Computer Vision – ACCV 2018; Lecture Notes in Computer Science,
Gowda, Shreyank N. ; Yuan, Chun - p. 581-596 , 2019
Link: https://doi.org/10.1007/..
 
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7

Adversarial Augmentation Training Makes Action Recognition ..:

Kim, Kiyoon ; Gowda, Shreyank N ; Eustratiadis, Panagiotis..
http://arxiv.org/abs/2401.11406.  , 2024
Link: http://arxiv.org/abs/240..
 
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8

Reimagining Reality: A Comprehensive Survey of Video Inpain..:

Gowda, Shreyank N ; Thakre, Yash ; Gowda, Shashank Narayana.
http://arxiv.org/abs/2401.17883.  , 2024
Link: http://arxiv.org/abs/240..
 
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9

Telling Stories for Common Sense Zero-Shot Action Recogniti..:

Gowda, Shreyank N ; Sevilla-Lara, Laura
http://arxiv.org/abs/2309.17327.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

Watt For What: Rethinking Deep Learning's Energy-Performanc..:

Gowda, Shreyank N ; Hao, Xinyue ; Li, Gen..
http://arxiv.org/abs/2310.06522.  , 2023
Link: http://arxiv.org/abs/231..
 
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11

From Pixels to Portraits: A Comprehensive Survey of Talking..:

Gowda, Shreyank N ; Pandey, Dheeraj ; Gowda, Shashank Narayana
http://arxiv.org/abs/2308.16041.  , 2023
Link: http://arxiv.org/abs/230..
 
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12

Synthetic Sample Selection for Generalized Zero-Shot Learni..:

Gowda, Shreyank N
http://arxiv.org/abs/2304.02846.  , 2023
Link: http://arxiv.org/abs/230..
 
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13

Optimizing ViViT Training: Time and Memory Reduction for Ac..:

Gowda, Shreyank N ; Arnab, Anurag ; Huang, Jonathan
http://arxiv.org/abs/2306.04822.  , 2023
Link: http://arxiv.org/abs/230..
 
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14

A Closer Look at Temporal Ordering in the Segmentation of I..:

Batra, Anil ; Gowda, Shreyank N ; Keller, Frank.
http://arxiv.org/abs/2209.15501.  , 2022
Link: http://arxiv.org/abs/220..
 
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15

Capturing Temporal Information in a Single Frame: Channel S..:

Kim, Kiyoon ; Gowda, Shreyank N ; Mac Aodha, Oisin.
http://arxiv.org/abs/2201.10394.  , 2022
Link: http://arxiv.org/abs/220..
 
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