Raja Kumar - RankMe

15 papers B 1Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DiVE-k: Differential Visual Reasoning for Fine-grained Image Recognition. CoRR Raja Kumar, Arka Sadhu, Ram Nevatia
2025	J	`jnl`	M3CoL: Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification. Trans. Mach. Learn. Res. Raja Kumar, Raghav Singhal, Pranamya Prashant Kulkarni, Deval Mehta, Kshitij Sharad Jadhav
2024	—	`conf`	Few-Shot Novel View Synthesis Using Depth Aware 3D Gaussian Splatting. ECCV Workshops (23) Raja Kumar, Vanshika Vats
2024	J	`jnl`	Few-shot Novel View Synthesis using Depth Aware 3D Gaussian Splatting. CoRR Raja Kumar, Vanshika Vats
2024	J	`jnl`	Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification. CoRR Raja Kumar, Raghav Singhal, Pranamya Prashant Kulkarni, Deval Mehta, Kshitij S. Jadhav
2024	—	`conf`	Leveraging ChatGPT-3.5 for Automated Evaluation of Time Complexity in Programming Assignments. COMPUTE Raja Kumar, Sushant Phalke, Deependra Singh Rajput, Sujith Thomas
2024	—	`conf`	Mental Disorder Classification via Temporal Representation of Text. EMNLP (Findings) Raja Kumar, Kishan Maharaj, Ashita Saxena, Pushpak Bhattacharyya
2024	J	`jnl`	Mental Disorder Classification via Temporal Representation of Text. CoRR Raja Kumar, Kishan Maharaj, Ashita Saxena, Pushpak Bhattacharyya
2023	—	`conf`	Disjoint Pose and Shape for 3D Face Reconstruction. ICCV (Workshops) Raja Kumar, Jiahao Luo, Alex Pang, James Davis
2023	J	`jnl`	Disjoint Pose and Shape for 3D Face Reconstruction. CoRR Raja Kumar, Jiahao Luo, Alex Pang, James Davis
2023	—	`conf`	Eyes Show the Way: Modelling Gaze Behaviour for Hallucination Detection. EMNLP (Findings) Kishan Maharaj, Ashita Saxena, Raja Kumar, Abhijit Mishra, Pushpak Bhattacharyya
2023	J	`jnl`	Task Oriented Conversational Modelling With Subjective Knowledge. CoRR Raja Kumar
2021	B	`conf`	Hybrid and non-uniform quantization methods using retro synthesis data for efficient inference. IJCNN Tej Pratap G. V. S. L., Raja Kumar, N. S. Pradeep
2020	J	`jnl`	Hybrid and Non-Uniform quantization methods using retro synthesis data for efficient inference. CoRR Tej Pratap G. V. S. L., Raja Kumar
2019	—	`—`	Reducing the Computational Requirements of the Nearest Neighbor Classifier. Raja Kumar