Rangwani, Harsh

15 publications

CVPR 2025 Composing Parts for Expressive Object Generation Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam

CVPR 2024 DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets Harsh Rangwani, Pradipto Mondal, Mayank Mishra, Ashish Ramayee Asokan, R. Venkatesh Babu

WACV 2024 Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty

ICLR 2024 Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan

CVPRW 2023 Certified Adversarial Robustness Within Multiple Perturbation Bounds Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu

CVPR 2023 NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu

ICMLW 2023 SelMix: Selective Mixup Fine Tuning for Optimizing Non-Decomposable Metrics Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan

ICCV 2023 Strata-NeRF : Neural Radiance Fields for Stratified Scenes Ankit Dhiman, R Srinath, Harsh Rangwani, Rishubh Parihar, Lokesh R Boregowda, Srinath Sridhar, R Venkatesh Babu

ICML 2022 A Closer Look at Smoothness in Domain Adversarial Training Harsh Rangwani, Sumukh K Aithal, Mayank Mishra, Arihant Jain, Venkatesh Babu Radhakrishnan

NeurIPS 2022 Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu R

NeurIPS 2022 Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data Harsh Rangwani, Sumukh K Aithal, Mayank Mishra, Venkatesh Babu R

ECCV 2022 Hierarchical Semantic Regularization of Latent Spaces in StyleGANs Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu

ECCV 2022 Improving GANs for Long-Tailed Data Through Group Spectral Regularization Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu

UAI 2021 Class Balancing GAN with a Classifier in the Loop Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu

ICCV 2021 S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation Harsh Rangwani, Arihant Jain, Sumukh K Aithal, R. Venkatesh Babu