Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings. - Shweta Mahajan; Teresa Botschen; Iryna Gurevych; Stefan Roth 001 (ICCV Workshops, 2019)

b-it-bots: Our Approach for Autonomous Robotics in Industrial Environments. - Abhishek Padalkar; Mohammad Wasil; Shweta Mahajan; Ramesh Kumar; Dharmin Bakaraniya; Raghuvir Shirodkar; Heruka Andradi; Deepan Padmanabhan; Carlo Wiesse; Ahmed Faisal Abdelrahman; Sushant Chavan; Naresh Gurulingan; et al. (RoboCup, 2019)

Normalizing Flows With Multi-Scale Autoregressive Priors. - Apratim Bhattacharyya; Shweta Mahajan; Mario Fritz; Bernt Schiele; Stefan Roth 001 (CVPR, 2020)

Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings. - Shweta Mahajan; Iryna Gurevych; Stefan Roth 001 (ICLR, 2020)

Diverse Image Captioning with Context-Object Split Latent Spaces. - Shweta Mahajan; Stefan Roth 001 (NeurIPS, 2020)

Diverse Image Captioning with Grounded Style. - Franz Klein; Shweta Mahajan; Stefan Roth 001 (GCPR, 2021)

PixelPyramids: Exact Inference Models from Lossless Image Pyramids. - Shweta Mahajan; Stefan Roth 001 (ICCV, 2021)

Multimodal Representation Learning for Diverse Synthesis with Deep Generative Models. - Shweta Mahajan (2022)

Multimodales Repräsentationslernen für diversifizierte Synthese. - Shweta Mahajan (Ausgezeichnete Informatikdissertationen, 2022)

Make-A-Story: Visual Memory Conditioned Consistent Story Generation. - Tanzila Rahman; Hsin-Ying Lee 001; Jian Ren 005; Sergey Tulyakov; Shweta Mahajan; Leonid Sigal (CVPR, 2023)

Unsupervised Semantic Correspondence Using Stable Diffusion. - Eric Hedlin; Gopal Sharma; Shweta Mahajan; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (NeurIPS, 2023)

Unsupervised Keypoints from Pretrained Diffusion Models. - Eric Hedlin; Gopal Sharma; Shweta Mahajan; Xingzhe He; Hossam Isack; Abhishek Kar; Helge Rhodin; Andrea Tagliasacchi; Kwang Moo Yi (CVPR, 2024)

ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models. - Jeong-gi Kwak; Erqun Dong; Yuhe Jin; Hanseok Ko; Shweta Mahajan; Kwang Moo Yi (CVPR, 2024)

Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models. - Shweta Mahajan; Tanzila Rahman; Kwang Moo Yi; Leonid Sigal (CVPR, 2024)

Visual Concept-driven Image Generation with Text-to-Image Diffusion Model. - Tanzila Rahman; Shweta Mahajan; Hsin-Ying Lee 001; Jian Ren 005; Sergey Tulyakov; Leonid Sigal (CoRR, 2024)

DDIL: Improved Diffusion Distillation With Imitation Learning. - Risheek Garrepalli; Shweta Mahajan; Munawar Hayat; Fatih Porikli (CoRR, 2024)

HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories. - Eric Hedlin; Munawar Hayat; Fatih Porikli; Kwang Moo Yi; Shweta Mahajan (CVPR, 2025)

Distilling Multi-modal Large Language Models for Autonomous Driving. - Deepti Hegde; Rajeev Yasarla; Hong Cai; Shizhong Han; Apratim Bhattacharyya; Shweta Mahajan; Litian Liu; Risheek Garrepalli; Vishal M. Patel; Fatih Porikli (CVPR, 2025)

DuoLoRA : Cycle-consistent and Rank-disentangled Content-Style Personalization. - Aniket Roy; Shubhankar Borse; Shreya Kadambi; Debasmit Das; Shweta Mahajan; Risheek Garrepalli; Hyojin Park 004; Ankita Nayak; Rama Chellappa; Munawar Hayat; Fatih Porikli (CoRR, 2025)

RoCA: Robust Cross-Domain End-to-End Autonomous Driving. - Rajeev Yasarla; Shizhong Han; Hsin-Pai Cheng; Litian Liu; Shweta Mahajan; Apratim Bhattacharyya; Yunxiao Shi; Risheek Garrepalli; Hong Cai; Fatih Porikli (CoRR, 2025)