K. J. Joseph

According to our database, K. J. Joseph authored at least 28 papers between 2018 and 2025.

Collaborative distances:

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

2025

Poetry in Pixels: Prompt Tuning for Poem Image Generation via Diffusion Models.

Sofia Jamil, Bollampalli Areen Reddy, Raghvendra Kumar, Sriparna Saha, K. J. Joseph, Koustava Goswami

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Grounding Descriptions in Images informs Zero-Shot Visual Recognition.

Shaunak Halbe, Junjiao Tian, K. J. Joseph, James Seale Smith, Katherine Stevo, Vineeth N. Balasubramanian, Zsolt Kira

CoRR, 2024

Design-o-meter: Towards Evaluating and Refining Graphic Designs.

Sahil Goyal, Abhinav Mahajan, Swasti Mishra, Prateksha Udhayanan, Tripti Shukla, K. J. Joseph, Balaji Vasan Srinivasan

CoRR, 2024

Iterative Multi-granular Image Editing using Diffusion Models.

K. J. Joseph, Prateksha Udhayanan, Tripti Shukla, Aishwarya Agarwal, Srikrishna Karanam, Koustava Goswami, Balaji Vasan Srinivasan

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

POET: Prompt Offset Tuning for Continual Human Action Adaptation.

Prachi Garg, K. J. Joseph, Vineeth N. Balasubramanian, Necati Cihan Camgöz, Chengde Wan, Kenrick Kin, Weiguang Si, Shugao Ma, Fernando De la Torre

Proceedings of the Computer Vision - ECCV 2024, 2024

MELFuSION: Synthesizing Music from Image and Language Cues Using Diffusion Models.

Sanjoy Chowdhury, Sayan Nag, K. J. Joseph, Balaji Vasan Srinivasan, Dinesh Manocha

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

CoPL: Contextual Prompt Learning for Vision-Language Understanding.

Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan, K. J. Joseph, Balaji Vasan Srinivasan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Contextual Prompt Learning for Vision-Language Understanding.

Koustava Goswami, Srikrishna Karanam, K. J. Joseph, Prateksha Udhayanan, Balaji Vasan Srinivasan

CoRR, 2023

Δ-Networks for Efficient Model Patching.

Chaitanya Devaguptapu, Samarth Sinha, K. J. Joseph, Vineeth N. Balasubramanian, Animesh Garg

CoRR, 2023

Data-Free Class-Incremental Hand Gesture Recognition.

Shubhra Aich, Jesús Ruiz-Santaquiteria, Zhenyu Lu, Prachi Garg, K. J. Joseph, Alvaro Fernandez Garcia, Vineeth N. Balasubramanian, Kenrick Kin, Chengde Wan, Necati Cihan Camgöz, Shugao Ma, Fernando De la Torre

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

A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis.

Aishwarya Agarwal, Srikrishna Karanam, K. J. Joseph, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan

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

D³Former: Debiased Dual Distilled Transformer for Incremental Learning.

Abdelrahman Mohamed, Rushali Grandhe, K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan

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

2022

Incremental Object Detection via Meta-Learning.

K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian

IEEE Trans. Pattern Anal. Mach. Intell., 2022

New Objects on the Road? No Problem, We'll Learn Them Too.

Deepak Kumar Singh, Shyam Nandan Rai, K. J. Joseph, Rohit Saluja, Vineeth N. Balasubramanian, Chetan Arora, Anbumani Subramanian, C. V. Jawahar

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Novel Class Discovery Without Forgetting.

K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian

Proceedings of the Computer Vision, 2022

Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer.

Arjun Ashok, K. J. Joseph, Vineeth N. Balasubramanian

Proceedings of the Computer Vision - ECCV 2022, 2022

Spacing Loss for Discovering Novel Categories.

K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Energy-based Latent Aligner for Incremental Learning.

K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Vineeth N. Balasubramanian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

OW-DETR: Open-world Detection Transformer.

Akshita Gupta, Sanath Narayan, K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Towards Open World Object Detection.

K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Incremental Object Detection via Meta-Learning.

K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth Balasubramanian, Ling Shao

CoRR, 2020

Meta-Consolidation for Continual Learning.

K. J. Joseph, Vineeth Nallure Balasubramanian

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Zero-Shot Domain Generalization.

Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian

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

2019

C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis.

K. J. Joseph, Arghya Pal, Sailaja Rajanala, Vineeth N. Balasubramanian

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Submodular Batch Selection for Training Deep Neural Networks.

K. J. Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N. Balasubramanian

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

MASON: A Model AgnoStic ObjectNess Framework.

K. J. Joseph, Vineeth N. Balasubramanian

CoRR, 2018

VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results.

Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganière, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

MASON: A Model AgnoStic ObjectNess Framework.

K. J. Joseph, Rajiv Chunilal Patel, Amit Srivastava, Uma Gupta, Vineeth N. Balasubramanian

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018