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Mainak Singha
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2020 – today
- 2024
- [c7]Mainak Singha, Ankit Jha, Shirsha Bose, Ashwin Nair, Moloud Abdar, Biplab Banerjee:
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization. CVPR 2024: 13309-13319 - [c6]Shirsha Bose, Ankit Jha, Enrico Fini, Mainak Singha, Elisa Ricci, Biplab Banerjee:
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization. WACV 2024: 5530-5540 - [i10]Mainak Singha, Ankit Jha, Shirsha Bose, Ashwin Nair, Moloud Abdar, Biplab Banerjee:
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization. CoRR abs/2404.00710 (2024) - [i9]Sai Bhargav Rongali, Sarthak Mehrotra, Ankit Jha, Mohamad Hassan N. C, Shirsha Bose, Tanisha Gupta, Mainak Singha, Biplab Banerjee:
CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery. CoRR abs/2404.05366 (2024) - [i8]Mainak Singha, Ankit Jha, Divyam Gupta, Pranav Singla, Biplab Banerjee:
Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning. CoRR abs/2407.04207 (2024) - [i7]Munish Monga, Sachin Kumar Giroh, Ankit Jha, Mainak Singha, Biplab Banerjee, Jocelyn Chanussot:
COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation. CoRR abs/2409.00397 (2024) - 2023
- [c5]Mainak Singha, Ankit Jha, Biplab Banerjee:
GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning. BMVC 2023: 314 - [c4]Mainak Singha, Ankit Jha, Bhupendra Solanki, Shirsha Bose, Biplab Banerjee:
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP. CVPR Workshops 2023: 2024-2034 - [c3]Mainak Singha, Harsh Pal, Ankit Jha, Biplab Banerjee:
AD-CLIP: Adapting Domains in Prompt Space Using CLIP. ICCV (Workshops) 2023: 4357-4366 - [c2]Avigyan Bhattacharya, Mainak Singha, Ankit Jha, Biplab Banerjee:
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing. ICVGIP 2023: 38:1-38:10 - [i6]Shirsha Bose, Enrico Fini, Ankit Jha, Mainak Singha, Biplab Banerjee, Elisa Ricci:
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization. CoRR abs/2302.09251 (2023) - [i5]Mainak Singha, Ankit Jha, Bhupendra Solanki, Shirsha Bose, Biplab Banerjee:
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP. CoRR abs/2304.05995 (2023) - [i4]Mainak Singha, Harsh Pal, Ankit Jha, Biplab Banerjee:
AD-CLIP: Adapting Domains in Prompt Space Using CLIP. CoRR abs/2308.05659 (2023) - [i3]Mainak Singha, Ankit Jha, Biplab Banerjee:
GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning. CoRR abs/2308.11605 (2023) - [i2]Ankit Jha, Debabrata Pal, Mainak Singha, Naman Agarwal, Biplab Banerjee:
HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues. CoRR abs/2309.13470 (2023) - [i1]Avigyan Bhattacharya, Mainak Singha, Ankit Jha, Biplab Banerjee:
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing. CoRR abs/2311.15812 (2023) - 2022
- [c1]Sai Bhargav Rongali, Sarthak Mehrotra, Ankit Jha, Mohamad Hassan N. C, Shirsha Bose, Tanisha Gupta, Mainak Singha, Biplab Banerjee:
CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery. CVPR Workshops 2022: 2616-2626
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