Rishav Pramanik

According to our database, Rishav Pramanik authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

VectorGym: A Multitask Benchmark for SVG Code Generation, Sketching, and Editing.

Juan A. Rodríguez, Haotian Zhang, Abhay Puri, Tianyang Zhang, Rishav Pramanik, Meng Lin, Xiaoqing Xie, Marco Terral, Darsh Kaushik, Aly Shariff, Perouz Taslakian, Spandana Gella, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli

CoRR, March, 2026

SANEval: Open-Vocabulary Compositional Benchmarks with Failure-mode Diagnosis.

Rishav Pramanik, Ian E. Nielsen, Jeff Smith, Saurav Pandit, Ravi Prakash Ramachandran, Zhaozheng Yin

CoRR, February, 2026

2025

Rendering-Aware Reinforcement Learning for Vector Graphics Generation.

Juan A. Rodríguez, Haotian Zhang, Abhay Puri, Aarash Feizi, Rishav Pramanik, Pascal Wichmann, Arnab Kumar Mondal, Mohammad Reza Samsami, Rabiul Awal, Perouz Taslakian, Spandana Gella, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli

CoRR, May, 2025

Distilling semantically aware orders for autoregressive image generation.

Rishav Pramanik, Antoine Poupon, Juan A. Rodríguez, Masih Aminbeidokhti, David Vázquez, Christopher Pal, Zhaozheng Yin, Marco Pedersoli

CoRR, April, 2025

2024

Margin-Aware Adaptive-Weighted-Loss for Deep Learning Based Imbalanced Data Classification.

Debasmit Roy, Rishav Pramanik, Ram Sarkar

IEEE Trans. Artif. Intell., February, 2024

Wanet: weight and attention network for video summarization.

Arpan Basu, Rishav Pramanik, Ram Sarkar

Discov. Artif. Intell., 2024

Masked Multi-Query Slot Attention for Unsupervised Object Discovery.

Rishav Pramanik, José-Fabian Villa-Vásquez, Marco Pedersoli

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Late acceptance hill climbing aided chaotic harmony search for feature selection: An empirical analysis on medical data.

Anurup Naskar, Rishav Pramanik, S. K. Sabbir Hossain, Seyedali Mirjalili, Ram Sarkar

Expert Syst. Appl., July, 2023

Breast cancer detection in thermograms using a hybrid of GA and GWO based deep feature selection method.

Rishav Pramanik, Payel Pramanik, Ram Sarkar

Expert Syst. Appl., June, 2023

Transformer-based deep reverse attention network for multi-sensory human activity recognition.

Rishav Pramanik, Ritodeep Sikdar, Ram Sarkar

Eng. Appl. Artif. Intell., 2023

MSENet: Mean and standard deviation based ensemble network for cervical cancer detection.

Rishav Pramanik, Bihan Banerjee, Ram Sarkar

Eng. Appl. Artif. Intell., 2023

2022

An ensemble of deep transfer learning models for handwritten music symbol recognition.

Ashis Paul, Rishav Pramanik, Samir Malakar, Ram Sarkar

Neural Comput. Appl., 2022

A Brief Overview of Physics-inspired Metaheuristic Optimization Techniques.

Soumitri Chattopadhyay, Aritra Marik, Rishav Pramanik

CoRR, 2022

A fuzzy distance-based ensemble of deep models for cervical cancer detection.

Rishav Pramanik, Momojit Biswas, Shibaprasad Sen, Luis Antônio de Souza Júnior, João Paulo Papa, Ram Sarkar

Comput. Methods Programs Biomed., 2022

An adaptive and altruistic PSO-based deep feature selection method for Pneumonia detection from Chest X-rays.

Rishav Pramanik, Sourodip Sarkar, Ram Sarkar

Appl. Soft Comput., 2022