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2020 – today
- 2024
[c15]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 2024: 2616-2626- [c14]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 - [c13]Prathmesh Bele, Valay Bundele, Avigyan Bhattacharya, Ankit Jha, Gemma Roig, Biplab Banerjee:
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization. WACV 2024: 1805-1815 - [c12]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 - [i13]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) - [i12]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) - [i11]Jagdeep Kaur, Kevin Antony, Nikhil Pujar, Ankit Jha:
Blockchain based Decentralized Petition System. CoRR abs/2407.00534 (2024) - [i10]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) - [i9]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
- [j3]Debabrata Pal
, Shirsha Bose, Deeptej More, Ankit Jha, Biplab Banerjee, Yogananda V. Jeppu:
MAML-SR: Self-adaptive super-resolution networks via multi-scale optimized attention-aware meta-learning. Pattern Recognit. Lett. 173: 101-107 (2023) - [j2]Ankit Jha, Biplab Banerjee:
MDFS-Net: Multidomain Few Shot Classification for Hyperspectral Images With Support Set Reconstruction. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j1]Shirsha Bose, Ankit Jha, Hitesh Kandala, Biplab Banerjee:
Beyond Boundaries: A Novel Data-Augmentation Discourse for Open Domain Generalization. Trans. Mach. Learn. Res. 2023 (2023) - [c11]Mainak Singha, Ankit Jha, Biplab Banerjee:
GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning. BMVC 2023: 314 - [c10]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 - [c9]Mainak Singha, Harsh Pal, Ankit Jha, Biplab Banerjee:
AD-CLIP: Adapting Domains in Prompt Space Using CLIP. ICCV (Workshops) 2023: 4357-4366 - [c8]Ankit Jha:
Automatic Benchmark Generation for Object Constraint Language. ICST 2023: 486-488 - [c7]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 - [c6]Ankit Jha, Shirsha Bose, Biplab Banerjee:
GAF-Net: Improving the Performance of Remote Sensing Image Fusion using Novel Global Self and Cross Attention Learning. WACV 2023: 6343-6352 - [i8]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) - [i7]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) - [i6]Mainak Singha, Harsh Pal, Ankit Jha, Biplab Banerjee:
AD-CLIP: Adapting Domains in Prompt Space Using CLIP. CoRR abs/2308.05659 (2023) - [i5]Mainak Singha, Ankit Jha, Biplab Banerjee:
GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning. CoRR abs/2308.11605 (2023) - [i4]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) - [i3]Prathmesh Bele, Valay Bundele, Avigyan Bhattacharya, Ankit Jha, Gemma Roig, Biplab Banerjee:
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization. CoRR abs/2311.02599 (2023) - [i2]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
- [i1]Ankit Jha, Ishita Pratham G. Shenwai, Ayush Batra, Siddharth Kotian, Piyush Modi:
GesSure - A Robust Face-Authentication enabled Dynamic Gesture Recognition GUI Application. CoRR abs/2207.11033 (2022) - 2021
- [c5]Ankit Jha, Biplab Banerjee, Subhasis Chaudhuri:
S3 DMT-Net: improving soft sharing based multi-task CNN using task-specific distillation and cross-task interactions. ICVGIP 2021: 16:1-16:9 - [c4]Ruchika Chavhan, Ankit Jha, Biplab Banerjee, Subhasis Chaudhuri:
ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer. WACV 2021: 3501-3510 - 2020
- [c3]Ankit Jha, Awanish Kumar, Biplab Banerjee, Vinay P. Namboodiri:
SD-MTCNN: Self-Distilled Multi-Task CNN. BMVC 2020 - [c2]Ankit Jha, Awanish Kumar, Biplab Banerjee, Subhasis Chaudhuri:
AdaMT-Net: An Adaptive Weight Learning Based Multi-Task Learning Model For Scene Understanding. CVPR Workshops 2020: 3027-3035 - [c1]Ankit Jha, Awanish Kumar, Shivam Pande, Biplab Banerjee, Subhasis Chaudhuri:
MT-UNET: A Novel U-Net Based Multi-Task Architecture For Visual Scene Understanding. ICIP 2020: 2191-2195
Coauthor Index
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last updated on 2024-10-11 18:24 CEST by the dblp team
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