Oindrila Saha - RankMe

30 papers A* 4A 1Journal 18Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	3D Space as a Scratchpad for Editable Text-to-Image Generation. CoRR Oindrila Saha, Vojtech Krs, Radomír Mech, Subhransu Maji, Matheus Gadelha, Kevin Blackburn-Matzen
2026	J	`jnl`	RealBirdID: Benchmarking Bird Species Identification in the Era of MLLMs. CoRR Logan Lawrence, Mustafa Chasmai, Rangel Daroya, Wuao Liu, Seoyun Jeong, Aaron Sun, Max Hamilton, Fabien Delattre, Oindrila Saha, Subhransu Maji, Grant Van Horn
2025	J	`jnl`	Generate, Transduct, Adapt: Iterative Transduction with VLMs. CoRR Oindrila Saha, Logan Lawrence, Grant Van Horn, Subhransu Maji
2025	J	`jnl`	Not All Birds Look The Same: Identity-Preserving Generation For Birds. CoRR Aaron Sun, Oindrila Saha, Subhransu Maji
2025	J	`jnl`	SIGMA-GEN: Structure and Identity Guided Multi-subject Assembly for Image Generation. CoRR Oindrila Saha, Vojtech Krs, Radomír Mech, Subhransu Maji, Kevin Blackburn-Matzen, Matheus Gadelha
2025	J	`jnl`	VIDMP3: Video Editing by Representing Motion with Pose and Position Priors. CoRR Sandeep Mishra, Oindrila Saha, Alan C. Bovik
2025	—	`conf`	VidMP3: Video Editing by Representing Motion with Pose and Position Priors. ICCVW Sandeep Mishra, Oindrila Saha, Alan C. Bovik
2025	J	`jnl`	You May Speak Freely: Improving the Fine-Grained Visual Recognition Capabilities of Multimodal Large Language Models with Answer Extraction. CoRR Logan Lawrence, Oindrila Saha, Megan Wei, Chen Sun, Subhransu Maji, Grant Van Horn
2024	J	`jnl`	C3DAG: Controlled 3D Animal Generation using 3D pose guidance. CoRR Sandeep Mishra, Oindrila Saha, Alan C. Bovik
2024	J	`jnl`	Decomposed evaluations of geographic disparities in text-to-image models. CoRR Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppa, Oindrila Saha, Adina Williams, Adriana Romero-Soriano, Megan Richards, Polina Kirichenko, Melissa Hall
2024	A*	`conf`	Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions. CVPR Oindrila Saha, Grant Van Horn, Subhransu Maji
2024	J	`jnl`	Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions. CoRR Oindrila Saha, Grant Van Horn, Subhransu Maji
2024	—	`conf`	NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. CVPR Workshops 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, Fengbin Guan, Yiting Lu, Xin Li, Hossein Motamednia, S. Farhad Hosseini-Benvidi, 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, Jie Zhou, Shiding Zhu, Bohan Yu, Pengfei Chen, Xinrui Xu, Jiabin Shen, Zhichao Duan, Erfan Asadi, Jiahe Liu, Qi Yan, Youran Qu, Xiaohui Zeng, Lele Wang, Renjie Liao
2024	J	`jnl`	NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. CoRR 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
2024	A*	`conf`	YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals. NeurIPS Sandeep Mishra, Oindrila Saha, Alan C. Bovik
2024	J	`jnl`	YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals. CoRR Sandeep Mishra, Oindrila Saha, Alan C. Bovik
2023	—	`conf`	PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition. ICCV (Workshops) Oindrila Saha, Subhransu Maji
2023	J	`jnl`	PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition. CoRR Oindrila Saha, Subhransu Maji
2022	A*	`conf`	GANORCON: Are Generative Models Useful for Few-shot Segmentation? CVPR Oindrila Saha, Zezhou Cheng, Subhransu Maji
2022	—	`conf`	Improving Few-Shot Part Segmentation Using Coarse Supervision. ECCV (30) Oindrila Saha, Zezhou Cheng, Subhransu Maji
2022	J	`jnl`	Improving Few-Shot Part Segmentation using Coarse Supervision. CoRR Oindrila Saha, Zezhou Cheng, Subhransu Maji
2021	J	`jnl`	GANORCON: Are Generative Models Useful for Few-shot Segmentation? CoRR Oindrila Saha, Zezhou Cheng, Subhransu Maji
2020	A*	`conf`	RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. NeurIPS Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain
2020	J	`jnl`	RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. CoRR Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain
2020	A	`conf`	RecSal : Deep Recursive Supervision for Visual Saliency Prediction. BMVC Oindrila Saha, Sandeep Mishra
2020	J	`jnl`	RecSal : Deep Recursive Supervision for Visual Saliency Prediction. CoRR Sandeep Mishra, Oindrila Saha
2019	—	`conf`	Do Events Change Opinions on Social Media? Studying the 2016 US Presidential Debates. SocInfo Sopan Khosla, Niyati Chhaya, Shivam Jindal, Oindrila Saha, Milind Srivastava
2019	J	`jnl`	Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy. CoRR Oindrila Saha, Rachana Sathish, Debdoot Sheet
2019	—	`conf`	Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images. MIDL Oindrila Saha, Rachana Sathish, Debdoot Sheet
2017	—	`conf`	Crowdsourcing for Chromosome Segmentation and Deep Classification. CVPR Workshops Monika Sharma, Oindrila Saha, Anand Sriraman, Ramya Hebbalaguppe, Lovekesh Vig, Shirish Karande