2024

  1. Contextual Prompt Learning for Vision-Language Understanding Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan, K J Joseph, and Balaji Vasan Srinivasan In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI - ORAL) 2024 [arXiv]
  2. Iterative Multi-granular Image Editing using Diffusion Models K J Joseph, Prateksha Udhayanan, Tripti Shukla, Aishwarya Agarwal, Srikrishna Karanam, Koustava Goswami, and Balaji Vasan Srinivasan In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024 [arXiv]

2023

  1. A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis Aishwarya Agarwal, Srikrishna Karanam, K J Joseph, Apoorv Saxena, Koustava Goswami, and Balaji Vasan Srinivasan In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2023 [arXiv]
  2. Data-Free Class-Incremental Hand Gesture Recognition Shubhra Aich, Jesus Ruiz-Santaquiteria, Prachi Garg, Zhenyu Lu, K J Joseph, Alvaro Fernandez Garcia, Kenrick Kin, Chengde Wan, Vineeth N Balasubramanian, Necati Cihan Camgoz, Shugao Ma, and Fernando de la Torre In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2023 [HTML]
  3. D3Former: Debiased Dual Distilled Transformer for Incremental Learning Abdelrahman Mohamed, Rushali Grandhe, K J Joseph, Salman Khan, and Fahad Shahbaz Khan In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W) 2023 [arXiv] [HTML] [Code]

2022

  1. Novel Class Discovery without Forgetting K J Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, and Vineeth N Balasubramanian In European Conference on Computer Vision (ECCV) 2022 [arXiv]
  2. Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer Arjun Ashok, K J Joseph, and Vineeth N Balasubramanian In European Conference on Computer Vision (ECCV) and CLVision Workshop at CVPR 2022 [PDF] [Code]
  3. Energy-based Latent Aligner for Incremental Learning K J Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Anwer, and Vineeth N Balasubramanian In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 [arXiv] [Code]
  4. OW-DETR: Open-world Detection Transformer Akshita Gupta, Sanath Narayan, K J Joseph, Salman Khan, Fahad Shahbaz Khan, and Mubarak Shah In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 [arXiv] [Code]
  5. Spacing Loss for Discovering Novel Categories K J Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, and Vineeth N Balasubramanian In Continual Learning in Computer Vision Workshop, CVPR-W (Best Paper Runner-Up Award) 2022 [arXiv]
  6. New Vehicles 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, and C.V. Jawahar In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022

2021

  1. Incremental Object Detection via Meta-Learning K J Joseph, Jathushan Rajasegaran, Salman Khan, Fahad Shahbaz Khan, and Vineeth N Balasubramanian In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021 [arXiv] [Code]
  2. Towards Open World Object Detection K J Joseph, Salman Khan, Fahad Shahbaz Khan, and Vineeth N Balasubramanian In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR - ORAL) 2021 [arXiv] [Code]
  3. ORDER: Open World Object Detection on Road Scenes Deepak Kumar Singh, Shyam Nandan Rai, K J Joseph, Rohit Saluja, Vineeth N Balasubramanian, Chetan Arora, Anbumani Subramanian, and C.V. Jawahar In Machine Learning for Autonomous Driving Workshop, NeurIPS-W 2021 [HTML] [PDF]

2020

  1. Meta-Consolidation for Continual Learning K J Joseph, and Vineeth N Balasubramanian In Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada. 2020 [arXiv] [Code]
  2. Zero-shot Domain Generalization Udit Maniyar, K J Joseph, Aniket Deshmukh, Urun Dogan, and Vineeth N Balasubramanian In British Machine Vision Conference (BMVC), Manchester, UK. 2020 [arXiv]

2019

  1. Submodular Batch Selection for Training Deep Neural Networks K J Joseph, Vamshi Teja Racha, Krishnakanth Singh, and Vineeth N Balasubramanian In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, (IJCAI), Macao, China. 2019 [arXiv] [Code]
  2. C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis K J Joseph, Arghya Pal, Sailaja Rajanala, and Vineeth N Balasubramanian In IEEE Winter Conference on Applications of Computer Vision (WACV), Hawaii, USA. 2019 [arXiv] [HTML] [Code]

2018

  1. MASON: A Model AgnoStic ObjectNess Framework K J Joseph, Rajiv Chunilal Patel, and Vineeth N Balasubramanian In First International Workshop On Autonomous Navigation in Unconstrained Environments, European Conference on Computer Vision, Workshop Proceedings (ECCV-W), Munich, Germany. 2018 [arXiv] [HTML] [PDF] [Poster] [Code]
  2. VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results Zhu Pengfei, Wen Longyin, Du Dawei, and others In European Conference on Computer Vision, Workshop Proceedings (ECCV-W), Munich, Germany. 2018 [HTML] [PDF]
  3. Zero-Shot Image Generation by Distilling Concepts from Multiple Captions K J Joseph, Arghya Pal, Sailaja Rajanala, and Vineeth N Balasubramanian In Towards learning with limited labels Workshop, International Conference on Machine Learning (ICML-W), Stockholm, Sweden. 2018 [HTML] [PDF] [Poster] [Code]