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Oindrila Saha
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Conference and Workshop Papers
- 2023
- [c8]Oindrila Saha, Subhransu Maji:
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition. ICCV (Workshops) 2023: 167-176 - 2022
- [c7]Oindrila Saha, Zezhou Cheng, Subhransu Maji:
GANORCON: Are Generative Models Useful for Few-shot Segmentation? CVPR 2022: 9981-9990 - [c6]Oindrila Saha, Zezhou Cheng, Subhransu Maji:
Improving Few-Shot Part Segmentation Using Coarse Supervision. ECCV (30) 2022: 283-299 - 2020
- [c5]Oindrila Saha, Sandeep Mishra:
RecSal : Deep Recursive Supervision for Visual Saliency Prediction. BMVC 2020 - [c4]Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain:
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. NeurIPS 2020 - 2019
- [c3]Oindrila Saha, Rachana Sathish, Debdoot Sheet:
Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images. MIDL 2019: 414-426 - [c2]Sopan Khosla, Niyati Chhaya, Shivam Jindal, Oindrila Saha, Milind Srivastava:
Do Events Change Opinions on Social Media? Studying the 2016 US Presidential Debates. SocInfo 2019: 287-297 - 2017
- [c1]Monika Sharma, Oindrila Saha, Anand Sriraman, Ramya Hebbalaguppe, Lovekesh Vig, Shirish Karande:
Crowdsourcing for Chromosome Segmentation and Deep Classification. CVPR Workshops 2017: 786-793
Informal and Other Publications
- 2024
- [i11]Oindrila Saha, Grant Van Horn, Subhransu Maji:
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions. CoRR abs/2401.02460 (2024) - [i10]Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, Haoning Wu, Yixuan Gao, Yuqin Cao, Zicheng Zhang, Xiele Wu, Radu Timofte, Fei Peng, Huiyuan Fu, Anlong Ming, Chuanming Wang, Huadong Ma, Shuai He, Zifei Dou, Shu Chen, Huacong Zhang, Haiyi Xie, Chengwei Wang, Baoying Chen, Jishen Zeng, Jianquan Yang, Weigang Wang, Xi Fang, Xiaoxin Lv, Jun Yan, Tianwu Zhi, Yabin Zhang, Yaohui Li, Yang Li, Jingwen Xu, Jianzhao Liu, Yiting Liao, Junlin Li, Zihao Yu, Yiting Lu, Xin Li, Hossein Motamednia, S. Farhad Hosseini-Benvidi, Fengbin Guan, Ahmad Mahmoudi-Aznaveh, Azadeh Mansouri, Ganzorig Gankhuyag, Kihwan Yoon, Yifang Xu, Haotian Fan, Fangyuan Kong, Shiling Zhao, Weifeng Dong, Haibing Yin, Li Zhu, Zhiling Wang, Bingchen Huang, Avinab Saha, Sandeep Mishra, Shashank Gupta, Rajesh Sureddi, Oindrila Saha, Luigi Celona, Simone Bianco, Paolo Napoletano, Raimondo Schettini, Junfeng Yang, Jing Fu, Wei Zhang, Wenzhi Cao, Limei Liu, Han Peng, Weijun Yuan, Zhan Li, Yihang Cheng, Yifan Deng, Haohui Li, Bowen Qu, Yao Li, Shuqing Luo, Shunzhou Wang, Wei Gao, Zihao Lu, Marcos V. Conde, Xinrui Wang, Zhibo Chen, Ruling Liao, Yan Ye, Qiulin Wang, Bing Li, Zhaokun Zhou, Miao Geng, Rui Chen, Xin Tao, Xiaoyu Liang, Shangkun Sun, Xingyuan Ma, Jiaze Li, Mengduo Yang, Haoran Xu:
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. CoRR abs/2404.16687 (2024) - [i9]Sandeep Mishra, Oindrila Saha, Alan C. Bovik:
C3DAG: Controlled 3D Animal Generation using 3D pose guidance. CoRR abs/2406.07742 (2024) - [i8]Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppa, Oindrila Saha, Adina Williams, Adriana Romero-Soriano, Megan Richards, Polina Kirichenko, Melissa Hall:
Decomposed evaluations of geographic disparities in text-to-image models. CoRR abs/2406.11988 (2024) - [i7]Sandeep Mishra, Oindrila Saha, Alan C. Bovik:
YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals. CoRR abs/2406.16273 (2024) - 2023
- [i6]Oindrila Saha, Subhransu Maji:
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition. CoRR abs/2309.13822 (2023) - 2022
- [i5]Oindrila Saha, Zezhou Cheng, Subhransu Maji:
Improving Few-Shot Part Segmentation using Coarse Supervision. CoRR abs/2204.05393 (2022) - 2021
- [i4]Oindrila Saha, Zezhou Cheng, Subhransu Maji:
GANORCON: Are Generative Models Useful for Few-shot Segmentation? CoRR abs/2112.00854 (2021) - 2020
- [i3]Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain:
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. CoRR abs/2002.11921 (2020) - [i2]Sandeep Mishra, Oindrila Saha:
RecSal : Deep Recursive Supervision for Visual Saliency Prediction. CoRR abs/2008.13745 (2020) - 2019
- [i1]Oindrila Saha, Rachana Sathish, Debdoot Sheet:
Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy. CoRR abs/1902.03122 (2019)
Coauthor Index
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