Recurrence textures for human activity recognition from compressive cameras. - Kuldeep Kulkarni; Pavan K. Turaga (ICIP, 2012)

Reconstruction-free inference on compressive measurements. - Suhas Lohit; Kuldeep Kulkarni; Pavan K. Turaga; Jian Wang 100; Aswin C. Sankaranarayanan (CVPR Workshops, 2015)

ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements. - Kuldeep Kulkarni; Suhas Lohit; Pavan K. Turaga; Ronan Kerviche; Amit Ashok (CVPR, 2016)

Weakly Supervised Learning of Heterogeneous Concepts in Videos. - Sohil Shah; Kuldeep Kulkarni; Arijit Biswas; Ankit Gandhi; Om Deshmukh; Larry S. Davis (ECCV (6), 2016)

Direct inference on compressive measurements using convolutional neural networks. - Suhas Lohit; Kuldeep Kulkarni; Pavan K. Turaga (ICIP, 2016)

ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements. - Kuldeep Kulkarni; Suhas Lohit; Pavan K. Turaga; Ronan Kerviche; Amit Ashok (CoRR, 2016)

Fast Integral Image Estimation at 1% measurement rate. - Kuldeep Kulkarni; Pavan K. Turaga (CoRR, 2016)

Reconstruction-Free Action Inference from Compressive Imagers. - Kuldeep Kulkarni; Pavan K. Turaga (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Compressive Light Field Reconstructions Using Deep Learning. - Mayank Gupta 005; Arjun Jauhari; Kuldeep Kulkarni; Suren Jayasuriya; Alyosha C. Molnar; Pavan K. Turaga (CVPR Workshops, 2017)

Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images. - Suhas Lohit; Kuldeep Kulkarni; Ronan Kerviche; Pavan K. Turaga; Amit Ashok (CoRR, 2017)

Computer Vision from Spatial-Multiplexing Cameras at Low Measurement Rates. - Kuldeep Kulkarni (2017)

CS-VQA: Visual Question Answering with Compressively Sensed Images. - Li-Chi Huang; Kuldeep Kulkarni; Anik Jha; Suhas Lohit; Suren Jayasuriya; Pavan K. Turaga (ICIP, 2018)

Rate-Adaptive Neural Networks for Spatial Multiplexers. - Suhas Lohit; Rajhans Singh; Kuldeep Kulkarni; Pavan K. Turaga (CoRR, 2018)

Convolutional Neural Networks for Noniterative Reconstruction of Compressively Sensed Images. - Suhas Lohit; Kuldeep Kulkarni; Ronan Kerviche; Pavan K. Turaga; Amit Ashok (IEEE Trans. Computational Imaging, 2018)

Rank-Regularized Measurement Operators for Compressive Imaging. - Suhas Lohit; Rajhans Singh; Kuldeep Kulkarni; Pavan K. Turaga (ACSSC, 2019)

Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships. - Kuldeep Kulkarni; Tejas Gokhale; Rajhans Singh; Pavan K. Turaga; Aswin C. Sankaranarayanan (CoRR, 2020)

SemIE: Semantically-aware Image Extrapolation. - Bholeshwar Khurana; Soumya Ranjan Dash; Abhishek Bhatia; Aniruddha Mahapatra; Hrituraj Singh; Kuldeep Kulkarni (ICCV, 2021)

User-Guided Variable Rate Learned Image Compression. - Rushil Gupta; Suryateja BV; Nikhil Kapoor; Rajat Jaiswal; Sharmila Nangi; Kuldeep Kulkarni (CVPR Workshops, 2022)

Controllable Animation of Fluid Elements in Still Images. - Aniruddha Mahapatra; Kuldeep Kulkarni (CVPR, 2022)

Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images. - Hugo Bertiche; Niloy J. Mitra; Kuldeep Kulkarni; Chun-Hao Paul Huang; Tuanfeng Y. Wang; Meysam Madadi; Sergio Escalera; Duygu Ceylan (CVPR, 2023)

Scene Graph Driven Text-Prompt Generation for Image Inpainting. - Tripti Shukla; Paridhi Maheshwari; Rajhans Singh; Ankita Shukla; Kuldeep Kulkarni; Pavan K. Turaga (CVPR Workshops, 2023)

GEMS: Scene Expansion using Generative Models of Graphs. - Rishi Agarwal; Tirupati Saketh Chandra; Vaidehi Patil; Aniruddha Mahapatra; Kuldeep Kulkarni; Vishwa Vinay (WACV, 2023)

Self-supervised Multi-view Disentanglement for Expansion of Visual Collections. - Nihal Jain; Praneetha Vaddamanu; Paridhi Maheshwari; Vishwa Vinay; Kuldeep Kulkarni (WSDM, 2023)

Crafting Parts for Expressive Object Composition. - Harsh Rangwani; Aishwarya Agarwal; Kuldeep Kulkarni; R. Venkatesh Babu; Srikrishna Karanam (CoRR, 2024)

FloAt: Flow Warping of Self-Attention for Clothing Animation Generation. - Swasti Shreya Mishra; Kuldeep Kulkarni; Duygu Ceylan; Balaji Vasan Srinivasan (CoRR, 2024)

Imposter: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion Models. - Divya Kothandaraman; Kuldeep Kulkarni; Sumit Shekhar; Balaji Vasan Srinivasan; Dinesh Manocha (COLING, 2025)

Composing Parts for Expressive Object Generation. - Harsh Rangwani; Aishwarya Agarwal; Kuldeep Kulkarni; R. Venkatesh Babu; Srikrishna Karanam (CVPR, 2025)

Polynomial Implicit Neural Framework for Promoting Shape Awareness in Generative Models. - Utkarsh Nath; Rajhans Singh; Ankita Shukla; Kuldeep Kulkarni; Pavan K. Turaga (Int. J. Comput. Vis., 2025)