Harsh Rangwani

33 papers A* 9A 2Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
Composing Parts for Expressive Object Generation.
CVPR
Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam
2025 J jnl
DynamicEval: Rethinking Evaluation for Dynamic Text-to-Video Synthesis.
CoRR
Nithin C. Babu, Aniruddha Mahapatra, Harsh Rangwani, Rajiv Soundararajan, Kuldeep Kulkarni
2025 J jnl
Learning from Limited and Imperfect Data.
CoRR
Harsh Rangwani
2025 J jnl
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning.
CoRR
M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty
2024 J jnl
Crafting Parts for Expressive Object Composition.
CoRR
Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam
2024 J jnl
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets.
CoRR
Harsh Rangwani, Pradipto Mondal, Mayank Mishra, Ashish Ramayee Asokan, R. Venkatesh Babu
2024 A* conf
DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets.
CVPR
Harsh Rangwani, Pradipto Mondal, Mayank Mishra, Ashish Ramayee Asokan, R. Venkatesh Babu
2024 J jnl
Learning from Limited and Imperfect Data.
CoRR
Harsh Rangwani
2024 A conf
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning.
WACV
M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty
2024 A* conf
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives.
ICLR
Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
2024 J jnl
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives.
CoRR
Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
2023 — conf
Certified Adversarial Robustness Within Multiple Perturbation Bounds.
CVPR Workshops
Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu
2023 J jnl
Certified Adversarial Robustness Within Multiple Perturbation Bounds.
CoRR
Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu
2023 J jnl
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics.
CoRR
Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu Radhakrishnan
2023 A* conf
NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs.
CVPR
Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
2023 J jnl
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs.
CoRR
Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
2023 A* conf
Strata-NeRF : Neural Radiance Fields for Stratified Scenes.
ICCV
Ankit Dhiman, R. Srinath, Harsh Rangwani, Rishubh Parihar, Lokesh R. Boregowda, Srinath Sridhar, R. Venkatesh Babu
2023 J jnl
Strata-NeRF : Neural Radiance Fields for Stratified Scenes.
CoRR
Ankit Dhiman, R. Srinath, Harsh Rangwani, Rishubh Parihar, Lokesh R. Boregowda, Srinath Sridhar, R. Venkatesh Babu
2022 A* conf
A Closer Look at Smoothness in Domain Adversarial Training.
ICML
Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, Venkatesh Babu Radhakrishnan
2022 J jnl
A Closer Look at Smoothness in Domain Adversarial Training.
CoRR
Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, R. Venkatesh Babu
2022 A* conf
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics.
NeurIPS
Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu R.
2022 A* conf
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data.
NeurIPS
Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Venkatesh Babu R.
2022 J jnl
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data.
CoRR
Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, R. Venkatesh Babu
2022 — conf
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs.
ECCV (15)
Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Kumar Singh, R. Venkatesh Babu
2022 J jnl
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs.
CoRR
Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu
2022 — conf
Improving GANs for Long-Tailed Data Through Group Spectral Regularization.
ECCV (15)
Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
2022 J jnl
Improving GANs for Long-Tailed Data through Group Spectral Regularization.
CoRR
Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
2021 J jnl
Class Balancing GAN with a Classifier in the Loop.
CoRR
Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu
2021 A conf
Class balancing GAN with a classifier in the loop.
UAI
Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu
2021 A* conf
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ICCV
Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu
2021 J jnl
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CoRR
Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu
2018 — conf
IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data.
CodeSwitch@ACL
Shashwat Trivedi, Harsh Rangwani, Anil Kumar Singh
2018 — conf
NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets.
SemEval@NAACL-HLT
Harsh Rangwani, Devang Kulshreshtha, Anil Kumar Singh