Ankit Jha

According to our database, Ankit Jha authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation.

Munish Monga, Sachin Kumar Giroh, Ankit Jha, Mainak Singha, Biplab Banerjee, Jocelyn Chanussot

CoRR, 2024

Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning.

Mainak Singha, Ankit Jha, Divyam Gupta, Pranav Singla, Biplab Banerjee

CoRR, 2024

Blockchain based Decentralized Petition System.

Jagdeep Kaur, Kevin Antony, Nikhil Pujar, Ankit Jha

CoRR, 2024

StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization.

Shirsha Bose, Ankit Jha, Enrico Fini, Mainak Singha, Elisa Ricci, Biplab Banerjee

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization.

Prathmesh Bele, Valay Bundele, Avigyan Bhattacharya, Ankit Jha, Gemma Roig, Biplab Banerjee

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization.

Mainak Singha, Ankit Jha, Shirsha Bose, Ashwin Nair, Moloud Abdar, Biplab Banerjee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery.

Sai Bhargav Rongali, Sarthak Mehrotra, Ankit Jha, Mohamad Hassan N. C, Shirsha Bose, Tanisha Gupta, Mainak Singha, Biplab Banerjee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

MAML-SR: Self-adaptive super-resolution networks via multi-scale optimized attention-aware meta-learning.

Debabrata Pal, Shirsha Bose, Deeptej More, Ankit Jha, Biplab Banerjee, Yogananda V. Jeppu

Pattern Recognit. Lett., September, 2023

Beyond Boundaries: A Novel Data-Augmentation Discourse for Open Domain Generalization.

Shirsha Bose, Ankit Jha, Hitesh Kandala, Biplab Banerjee

Trans. Mach. Learn. Res., 2023

MDFS-Net: Multidomain Few Shot Classification for Hyperspectral Images With Support Set Reconstruction.

Ankit Jha, Biplab Banerjee

IEEE Trans. Geosci. Remote. Sens., 2023

HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues.

Ankit Jha, Debabrata Pal, Mainak Singha, Naman Agarwal, Biplab Banerjee

CoRR, 2023

GAF-Net: Improving the Performance of Remote Sensing Image Fusion using Novel Global Self and Cross Attention Learning.

Ankit Jha, Shirsha Bose, Biplab Banerjee

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing.

Avigyan Bhattacharya, Mainak Singha, Ankit Jha, Biplab Banerjee

Proceedings of the Fourteenth Indian Conference on Computer Vision, 2023

Automatic Benchmark Generation for Object Constraint Language.

Ankit Jha

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2023

AD-CLIP: Adapting Domains in Prompt Space Using CLIP.

Mainak Singha, Harsh Pal, Ankit Jha, Biplab Banerjee

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP.

Mainak Singha, Ankit Jha, Bhupendra Solanki, Shirsha Bose, Biplab Banerjee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning.

Mainak Singha, Ankit Jha, Biplab Banerjee

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

GesSure - A Robust Face-Authentication enabled Dynamic Gesture Recognition GUI Application.

Ankit Jha, Ishita Pratham G. Shenwai, Ayush Batra, Siddharth Kotian, Piyush Modi

CoRR, 2022

2021

ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer.

Ruchika Chavhan, Ankit Jha, Biplab Banerjee, Subhasis Chaudhuri

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

<i>S</i>³ DMT-Net: improving soft sharing based multi-task CNN using task-specific distillation and cross-task interactions.

Ankit Jha, Biplab Banerjee, Subhasis Chaudhuri

Proceedings of the ICVGIP '21: Indian Conference on Computer Vision, Graphics and Image Processing, Jodhpur, India, December 19, 2021

2020

MT-UNET: A Novel U-Net Based Multi-Task Architecture For Visual Scene Understanding.

Ankit Jha, Awanish Kumar, Shivam Pande, Biplab Banerjee, Subhasis Chaudhuri

Proceedings of the IEEE International Conference on Image Processing, 2020

AdaMT-Net: An Adaptive Weight Learning Based Multi-Task Learning Model For Scene Understanding.

Ankit Jha, Awanish Kumar, Biplab Banerjee, Subhasis Chaudhuri

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

SD-MTCNN: Self-Distilled Multi-Task CNN.

Ankit Jha, Awanish Kumar, Biplab Banerjee, Vinay P. Namboodiri

Proceedings of the 31st British Machine Vision Conference 2020, 2020