List of Publications

Here is an updated list of my publications as of 18th March 2024.

Accepted Publications

  • R. Gandikota, J. Materzynska, T. Zhou, A. Torralba, D. Bau, “Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models”, under review [Project Page] [Source Code]

  • R. Gandikota, H. Orgad, Y. Belinkov, J. Materzynska, D. Bau, “Unified Concept Editing in Diffusion Models”, Proceedings of the Winter Conference on Applications of Computer Vision (WACV 2024) [Source Code]

  • R. Gandikota, J. Materzynska, J. F. Kaufman, D. Bau. “Erasing Concepts from Diffusion Models”, Proceedings of the 2023 IEEE International Conference on Computer Vision (ICCV 2023) [Source Code]

  • R. Gandikota, Nik Brown. “Pro-DDPM: Progressive Growing of Variable Denoising Diffusion Probabilistic Models for Faster Convergence”, accepted at 2022 33rd British Machine Vision Conference (BMVC’22) [Source Code]

  • R. Gandikota, D. Mishra. “CDQN: Context infused Sequential Object Detection with Deep Reinforcement Learning in Aerial Images “, accepted at 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’23) [Source Code]

  • R. Gandikota, D. Mishra. “DisMon-GAN: A 24X7 All-Weather Optical Domain Surveillance using Progressively Growing Adversarial Networks with Patch-based Discriminator”, accepted at 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’22) [Source Code]

  • R. Gandikota, M. M. “Pixel Noise Localization Algorithm for Indian Satellite Data Quality Control: A Novel Approach”, accepted at 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’22) [Source Code]

  • R. Gandikota, R. K. K, A. Sharma, M. M, and V. M. Bothale, “RTC-GAN: Real-Time Classification of Satellite Imagery using Deep Generative Adversarial Networks with Infused Spectral Information” IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, pp. 6993-6996, doi: 10.1109/IGARSS39084.2020.9323363. [Link] [Source Code]

  • R. Gandikota and D. Mishra. “Hiding Audio in Images: A Deep Learning Approach” International Conference on Pattern Recognition and Machine Intelligence. Springer, Cham, 2019, pp. 389-399. [Link] [Source Code]

  • R. Gandikota and D. Mishra, “How You See Me: Understanding Convolutional Neural Networks” TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), 2019, pp. 2069-2073, doi: 10.1109/TENCON.2019.8929603. [Link]

  • R. Gandikota, Nik Brown, “DC-Art-GAN: Stable Procedural Content Generation using DC-GANs for Digital Art”, accepted at 53rd annual International Conference of the International Simulation and Gaming Association (ISAGA 2022) [Source Code]

  • R.Gandikota, D. Mishra, “Hiding Video in Images: Harnessing Adversarial Learning on Deep 3D-Spatio-Temporal Convolutional Neural Networks”, accepted at 7th International Conference on Computer Vision & Image Processing (CVIP’22) [Source Code]

  • R.Gandikota, D. Mishra, “HD-VAE-GAN: Hiding Data with Variational Autoencoder Generative Adversarial Networks”, accepted at 7th International Conference on Computer Vision & Image Processing (CVIP’22) [Source Code]

  • R.Gandikota, D. Mishra, “Share-GAN: A Novel Shared Task Training in Generative Adversarial Networks for Data Hiding”, accepted at 7th International Conference on Computer Vision & Image Processing (CVIP’22)

Publications In Process

  • R. Gandikota, “Class-Net: A Novel Deep Learning Architecture with Peer-Learning”

  • R. Gandikota, D. Mishra. “Hiding Multimedia Inside Image using Bi-Directional LSTM GAN and 3D-GAN”

  • R. Gandikota, R. K. K, A. Sharma, M. M. “Automatic Satellite Image Quality Control: A Production Chain Design for ISRO”

Lectures and Invited Talks

  • Guest Lecturer for Graduate level Deep Learning Course CS7150 at Northeastern University about Diffusion Models

  • Guest Lecturer for Graduate level Computer Vision Course at Indian Institute of Space Science and Technology

  • Lecture Series on Data Hhiding under Intel Student Ambassador program at Indian Institute of Space Science and Technology