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Varun Jampani

Varun Jampani

D-Index & Metrics

Computer Science

D-Index
36
Citations
8799
World Ranking
11026
National Ranking
4587

Overview

Varun Jampani is affiliated with Google in the United States and has a focused research trajectory in computer science and engineering, particularly within computer vision and pattern recognition. Their work spans several subfields, including artificial intelligence, computational mechanics, computer graphics, computer-aided design, and aerospace engineering.

Their primary research topics include advanced vision and imaging, 3D shape modeling and analysis, human pose and action recognition, domain adaptation and few-shot learning, generative adversarial networks and image synthesis, multimodal machine learning applications, and computer graphics and visualization techniques.

Varun Jampani has published extensively, with the majority of their work appearing in venues such as arXiv (Cornell University), where they have contributed to 93 publications. Other notable places of publication include the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), the Proceedings of the AAAI Conference on Artificial Intelligence, and the 2022 IEEE International Conference on Image Processing (ICIP).

Recent publications include:

  • "DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation" (2022, arXiv (Cornell University))
  • "Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image" (2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV))
  • "Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis" (2022, arXiv (Cornell University))
  • "test1" (2025, arXiv (Cornell University))
  • "A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence" (2023, arXiv (Cornell University))

Varun Jampani frequently collaborates with several researchers, including:

  • R. Venkatesh Babu
  • Yuanzhen Li
  • Ming-Hsuan Yang
  • Deqing Sun
  • Jogendra Nath Kundu

Their work reflects a significant contribution to computer vision and machine learning, with a strong emphasis on generative models, vision applications, and multi-modal learning methods. The widespread distribution of publication venues and frequent co-authors points to a collaborative and multidisciplinary research approach.

Best Publications

  • Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation

    Huaizu Jiang;Deqing Sun;Varan Jampani;Ming-Hsuan Yang

  • SPLATNet: Sparse Lattice Networks for Point Cloud Processing

    Hang Su;Varun Jampani;Deqing Sun;Subhransu Maji

  • Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization

    Jonathan Tremblay;Aayush Prakash;David Acuna;Mark Brophy

  • Gated-SCNN: Gated Shape CNNs for Semantic Segmentation

    Towaki Takikawa;David Acuna;Varun Jampani;Sanja Fidler

  • Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

    Anurag Ranjan;Varun Jampani;Lukas Balles;Kihwan Kim

  • Adaptive Prototype Learning and Allocation for Few-Shot Segmentation

    Gen Li;Varun Jampani;Laura Sevilla-Lara;Deqing Sun

  • NeRD: Neural Reflectance Decomposition From Image Collections

    Mark Boss;Raphael Braun;Varun Jampani;Jonathan T. Barron

  • Pixel-Adaptive Convolutional Neural Networks

    Hang Su;Varun Jampani;Deqing Sun;Orazio Gallo

  • Superpixel sampling networks

    Varun Jampani;Deqing Sun;Ming Yu Liu;Ming Hsuan Yang

  • Video Propagation Networks

    Varun Jampani;Raghudeep Gadde;Peter V. Gehler

  • DeepGMR: Learning Latent Gaussian Mixture Models for Registration

    Wentao Yuan;Benjamin Eckart;Kihwan Kim;Varun Jampani

  • Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks

    Varun Jampani;Martin Kiefel;Peter V. Gehler

  • Semantic Video CNNs Through Representation Warping

    Raghudeep Gadde;Varun Jampani;Peter V. Gehler

  • On the Integration of Optical Flow and Action Recognition

    Laura Sevilla-Lara;Yiyi Liao;Fatma Güney;Varun Jampani

  • Optical Flow with Semantic Segmentation and Localized Layers

    Laura Sevilla-Lara;Deqing Sun;Varun Jampani;Michael J. Black

  • Decoupled Dynamic Filter Networks

    Jingkai Zhou;Varun Jampani;Zhixiong Pi;Qiong Liu

  • SCOPS: Self-Supervised Co-Part Segmentation

    Wei-Chih Hung;Varun Jampani;Sifei Liu;Pavlo Molchanov

  • Superpixel Convolutional Networks Using Bilateral Inceptions

    Raghudeep Gadde;Varun Jampani;Martin Kiefel;Daniel Kappler

  • Self-supervised Single-View 3D Reconstruction via Semantic Consistency

    Xueting Li;Sifei Liu;Kihwan Kim;Shalini de Mello

  • Learning Superpixels with Segmentation-Aware Affinity Loss

    Wei-Chih Tu;Ming-Yu Liu;Varun Jampani;Deqing Sun

Frequent Co-Authors

Jan Kautz
Jan Kautz Nvidia (United States)
Deqing Sun
Deqing Sun Google (United States)
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Ce Liu
Ce Liu Microsoft (United States)
Kihwan Kim
Kihwan Kim Nvidia (United Kingdom)
R. Venkatesh Babu
R. Venkatesh Babu Indian Institute of Science
Erik Learned-Miller
Erik Learned-Miller University of Massachusetts Amherst
Hendrik P. A. Lensch
Hendrik P. A. Lensch University of Tübingen
Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems

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