Raja Kumar

According to our database, Raja Kumar authored at least 11 papers between 2019 and 2025.

Collaborative distances:

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

2025

M3CoL: Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification.

Raja Kumar, Raghav Singhal, Pranamya Prashant Kulkarni, Deval Mehta, Kshitij Sharad Jadhav

Trans. Mach. Learn. Res., 2025

2024

Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification.

Raja Kumar, Raghav Singhal, Pranamya Prashant Kulkarni, Deval Mehta, Kshitij S. Jadhav

CoRR, 2024

Mental Disorder Classification via Temporal Representation of Text.

Raja Kumar, Kishan Maharaj, Ashita Saxena, Pushpak Bhattacharyya

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Few-Shot Novel View Synthesis Using Depth Aware 3D Gaussian Splatting.

Raja Kumar, Vanshika Vats

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Leveraging ChatGPT-3.5 for Automated Evaluation of Time Complexity in Programming Assignments.

Raja Kumar, Sushant Phalke, Deependra Singh Rajput, Sujith Thomas

Proceedings of the Computing Education Research - 17th Annual ACM India Compute Conference, 2024

2023

Task Oriented Conversational Modelling With Subjective Knowledge.

Raja Kumar

CoRR, 2023

Disjoint Pose and Shape for 3D Face Reconstruction.

Raja Kumar, Jiahao Luo, Alex Pang, James Davis

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

Eyes Show the Way: Modelling Gaze Behaviour for Hallucination Detection.

Kishan Maharaj, Ashita Saxena, Raja Kumar, Abhijit Mishra, Pushpak Bhattacharyya

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021

Hybrid and non-uniform quantization methods using retro synthesis data for efficient inference.

Tej Pratap G. V. S. L., Raja Kumar, N. S. Pradeep

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Hybrid and Non-Uniform quantization methods using retro synthesis data for efficient inference.

Tej Pratap G. V. S. L., Raja Kumar

CoRR, 2020

2019

Reducing the Computational Requirements of the Nearest Neighbor Classifier.

Raja Kumar

PhD thesis, 2019