E-LIB Suche - Ergebnisse für: Rangwani, Harsh

1

Minimizing Layerwise Activation Norm Improves Generalizatio..:

, In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),

Yashwanth, M. ; Nayak, Gaurav Kumar ; Rangwani, Harsh... - p. 2276-2285 , 2024

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

2

NoisyTwins: Class-Consistent and Diverse Image Generation T..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Rangwani, Harsh ; Bansal, Lavish ; Sharma, Kartik... - p. 5987-5996 , 2023

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

3

Strata-NeRF : Neural Radiance Fields for Stratified Scenes:

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

Dhiman, Ankit ; Srinath, R ; Rangwani, Harsh... - p. 17557-17568 , 2023

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

4

Certified Adversarial Robustness Within Multiple Perturbati..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),

Nandi, Soumalya ; Addepalli, Sravanti ; Rangwani, Harsh. - p. 2298-2305 , 2023

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

5

Improving GANs for Long-Tailed Data Through Group Spectral ..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,

Rangwani, Harsh ; Jaswani, Naman ; Karmali, Tejan.. - p. 426-442 , 2022

Link: https://doi.org/10.1007/..

6

Hierarchical Semantic Regularization of Latent Spaces in St..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,

Karmali, Tejan ; Parihar, Rishubh ; Agrawal, Susmit... - p. 443-459 , 2022

Link: https://doi.org/10.1007/..

7

S3VAADA: Submodular Subset Selection for Virtual Adversaria..:

, In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV),

Rangwani, Harsh ; Jain, Arihant ; Aithal, Sumukh K. - p. 7496-7505 , 2021

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

8

Certified Adversarial Robustness Within Multiple Perturbati..:

Nandi, Soumalya ; Addepalli, Sravanti ; Rangwani, Harsh.
http://arxiv.org/abs/2304.10446. , 2023

Link: http://arxiv.org/abs/230..

9

Strata-NeRF : Neural Radiance Fields for Stratified Scenes:

Dhiman, Ankit ; R, Srinath ; Rangwani, Harsh...
http://arxiv.org/abs/2308.10337. , 2023

Link: http://arxiv.org/abs/230..

10

NoisyTwins: Class-Consistent and Diverse Image Generation t..:

Rangwani, Harsh ; Bansal, Lavish ; Sharma, Kartik...
http://arxiv.org/abs/2304.05866. , 2023

Link: http://arxiv.org/abs/230..

11

Cost-Sensitive Self-Training for Optimizing Non-Decomposabl..:

Rangwani, Harsh ; Ramasubramanian, Shrinivas ; Takemori, Sho...
http://arxiv.org/abs/2304.14738. , 2023

Link: http://arxiv.org/abs/230..

12

Hierarchical Semantic Regularization of Latent Spaces in St..:

Karmali, Tejan ; Parihar, Rishubh ; Agrawal, Susmit...
http://arxiv.org/abs/2208.03764. , 2022

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

13

A Closer Look at Smoothness in Domain Adversarial Training:

Rangwani, Harsh ; Aithal, Sumukh K ; Mishra, Mayank..
http://arxiv.org/abs/2206.08213. , 2022

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

14

Improving GANs for Long-Tailed Data through Group Spectral ..:

Rangwani, Harsh ; Jaswani, Naman ; Karmali, Tejan..
http://arxiv.org/abs/2208.09932. , 2022

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

15

Escaping Saddle Points for Effective Generalization on Clas..:

Rangwani, Harsh ; Aithal, Sumukh K ; Mishra, Mayank.
http://arxiv.org/abs/2212.13827. , 2022

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