Rohit Gupta

According to our database, Rohit Gupta authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages.

Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana, Noor Ahsan, Nevasini Sasikumar, Omkar Thawakar, Henok Biadglign Ademtew, Yahya Hmaiti, Amandeep Kumar, Kartik Kuckreja, Mykola Maslych, Wafa Al Ghallabi, Mihail Mihaylov, Chao Qin, Abdelrahman M. Shaker, Mike Zhang, Mahardika Krisna Ihsani, Amiel Esplana, Monil Gokani, Shachar Mirkin, Harsh Singh, Ashay Srivastava, Endre Hamerlik, Fathinah Asma Izzati, Fadillah Adamsyah Maani, Sebastian Cavada, Jenny Chim, Rohit Gupta, Sanjay Manjunath, Kamila Zhumakhanova, Feno Heriniaina Rabevohitra, Azril Amirudin, Muhammad Ridzuan, Daniya Kareem, Ketan More, Kunyang Li, Pramesh Shakya, Muhammad Saad, Amirpouya Ghasemaghaei, Amirbek Djanibekov, Dilshod Azizov, Branislava Jankovic, Naman Bhatia, Alvaro Cabrera, Johan S. Obando-Ceron, Olympiah Otieno, Fabian Farestam, Muztoba Rabbani, Sanoojan Baliah, Santosh Sanjeev, Abduragim Shtanchaev, Maheen Fatima, Thao Nguyen, Amrin Kareem, Toluwani Aremu, Nathan Xavier, Amit Bhatkal, Hawau Toyin, Aman Chadha, Hisham Cholakkal, Rao Muhammad Anwer, Michael Felsberg, Jorma Laaksonen, Thamar Solorio, Monojit Choudhury, Ivan Laptev, Mubarak Shah, Salman Khan, Fahad Khan

CoRR, 2024

Open Vocabulary Multi-label Video Classification.

Rohit Gupta, Mamshad Nayeem Rizve, Jayakrishnan Unnikrishnan, Ashish Tawari, Son Tran, Mubarak Shah, Benjamin Z. Yao, Trishul Chilimbi

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Class Prototypes based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos.

Rohit Gupta, Anirban Roy, Claire Christensen, Sujeong Kim, Sarah Gerard, Madeline Cincebeaux, Ajay Divakaran, Todd Grindal, Mubarak Shah

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

Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility.

Rohit Gupta, Naveed Akhtar, Ajmal Mian, Mubarak Shah

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

TCLR: Temporal contrastive learning for video representation.

Ishan R. Dave, Rohit Gupta, Mamshad Nayeem Rizve, Mubarak Shah

Comput. Vis. Image Underst., 2022

Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition.

Rohit Gupta, Naveed Akhtar, Gaurav Kumar Nayak, Ajmal Mian, Mubarak Shah

CoRR, 2022

On Higher Adversarial Susceptibility of Contrastive Self-Supervised Learning.

Rohit Gupta, Naveed Akhtar, Ajmal Mian, Mubarak Shah

CoRR, 2022

DeepSAR: Vessel Detection in SAR Imagery with Noisy Labels.

Manu S. Pillai, Abhijeet Bhattacharya, Tanmay Baweja, Rohit Gupta, Mubarak Shah

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

"Knights": First Place Submission for VIPriors21 Action Recognition Challenge at ICCV 2021.

Ishan R. Dave, Naman Biyani, Brandon Clark, Rohit Gupta, Yogesh S. Rawat, Mubarak Shah

CoRR, 2021

Cassandra: Detecting Trojaned Networks From Adversarial Perturbations.

Xiaoyu Zhang, Rohit Gupta, Ajmal Mian, Nazanin Rahnavard, Mubarak Shah

IEEE Access, 2021

2020

RescueNet: Joint Building Segmentation and Damage Assessment from Satellite Imagery.

Rohit Gupta, Mubarak Shah

Proceedings of the 25th International Conference on Pattern Recognition, 2020