E-LIB Suche - Ergebnisse für: Rangrej, Samrudhdhi B.

1

GliTr: Glimpse Transformers with Spatiotemporal Consistency..:

, In: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),

Rangrej, Samrudhdhi B ; Liang, Kevin J ; Hassner, Tal. - p. 3402-3412 , 2023

Link: https://doi.org/10.1109/..

2

GePSAn: Generative Procedure Step Anticipation in Cooking V..:

, In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV),

Abdelslam, Mohamed A. ; Rangrej, Samrudhdhi B. ; Hadji, Isma... - p. 2976-2985 , 2023

Link: https://doi.org/10.1109/..

3

Few-shot Learning with Noisy Labels:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Liang, Kevin J ; Rangrej, Samrudhdhi B. ; Petrovic, Vladan. - p. 9079-9088 , 2022

Link: https://doi.org/10.1109/..

4

Consistency driven Sequential Transformers Attention Model ..:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Rangrej, Samrudhdhi B. ; Srinidhi, Chetan L. ; Clark, James J. - p. 2508-2517 , 2022

Link: https://doi.org/10.1109/..

5

Scan, dwell, decide: Strategies for detecting abnormalities..:

Rangrej, Samrudhdhi B. ; Sivaswamy, Jayanthi ; Srivastava, Priyanka.
PLOS ONE. 13 (2018) 11 - p. e0207086 , 2018

Link: https://doi.org/10.1371/..

6

A biologically inspired saliency model for color fundus ima..:

, In: Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing,

Rangrej, Samrudhdhi B. ; Sivaswamy, Jayanthi - p. 1-8 , 2016

Link: https://dl.acm.org/doi/1..

7

GePSAn: Generative Procedure Step Anticipation in Cooking V..:

Abdelsalam, Mohamed Ashraf ; Rangrej, Samrudhdhi B ; Hadji, Isma...
http://arxiv.org/abs/2310.08312. , 2023

Link: http://arxiv.org/abs/231..

8

Few-shot Learning with Noisy Labels:

Liang, Kevin J ; Rangrej, Samrudhdhi B ; Petrovic, Vladan.
http://arxiv.org/abs/2204.05494. , 2022

Link: http://arxiv.org/abs/220..

9

GliTr: Glimpse Transformers with Spatiotemporal Consistency..:

Rangrej, Samrudhdhi B ; Liang, Kevin J ; Hassner, Tal.
http://arxiv.org/abs/2210.13605. , 2022

Link: http://arxiv.org/abs/221..

10

Consistency driven Sequential Transformers Attention Model ..:

Rangrej, Samrudhdhi B ; Srinidhi, Chetan L ; Clark, James J
http://arxiv.org/abs/2204.00656. , 2022

Link: http://arxiv.org/abs/220..

11

A Probabilistic Hard Attention Model For Sequentially Obser..:

Rangrej, Samrudhdhi B ; Clark, James J
http://arxiv.org/abs/2111.07534. , 2021

Link: http://arxiv.org/abs/211..

12

Visual Attention in Imaginative Agents:

Rangrej, Samrudhdhi B ; Clark, James J
http://arxiv.org/abs/2104.00177. , 2021

Link: http://arxiv.org/abs/210..

13

A deep learning framework for segmentation of retinal layer..:

Gopinath, Karthik ; Rangrej, Samrudhdhi B ; Sivaswamy, Jayanthi
http://arxiv.org/abs/1806.08859. , 2018

Link: http://arxiv.org/abs/180..

14

Assistive lesion-emphasis system: an assistive system for f..:

Rangrej, Samrudhdhi B ; Sivaswamy, Jayanthi
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5443420/. , 2017

Link: http://www.ncbi.nlm.nih...

15

Scan, dwell, decide: Strategies for detecting abnormalities..:

Samrudhdhi B Rangrej ; Jayanthi Sivaswamy ; Priyanka Srivastava
http://europepmc.org/articles/PMC6239282?pdf=render. , 2018

Link: https://doi.org/10.1371/..