Varun Jampani

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Papers (23)

1. HumANDiff: Articulated Noise Diffusion for Motion-Consistent Human Video Generation cs.CV · 2026 · author #2
2. MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion cs.CV · 2024 · author #4
3. Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets cs.CV · 2023 · author #11
4. Gated-SCNN: Gated Shape CNNs for Semantic Segmentation cs.CV · 2019 · author #3
5. SCOPS: Self-Supervised Co-Part Segmentation cs.CV · 2019 · author #2
6. Pixel-Adaptive Convolutional Neural Networks cs.CV · 2019 · author #2
7. Superpixel Sampling Networks cs.CV · 2018 · author #1
8. Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation cs.CV · 2018 · author #2
9. Switchable Temporal Propagation Network cs.CV · 2018 · author #5
10. Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization cs.CV · 2018 · author #5
11. SPLATNet: Sparse Lattice Networks for Point Cloud Processing cs.CV · 2018 · author #2
12. On the Integration of Optical Flow and Action Recognition cs.CV · 2017 · author #4
13. Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation cs.CV · 2017 · author #3
14. Learning Inference Models for Computer Vision cs.CV · 2017 · author #1
15. Semantic Video CNNs through Representation Warping cs.CV · 2017 · author #2
16. Video Propagation Networks cs.CV · 2016 · author #1
17. Efficient 2D and 3D Facade Segmentation using Auto-Context cs.CV · 2016 · author #2
18. Optical Flow with Semantic Segmentation and Localized Layers cs.CV · 2016 · author #3
19. Superpixel Convolutional Networks using Bilateral Inceptions cs.CV · 2015 · author #2
20. Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks cs.CV · 2015 · author #1
21. Permutohedral Lattice CNNs cs.CV · 2014 · author #2
22. Consensus Message Passing for Layered Graphical Models cs.CV · 2014 · author #1
23. The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models cs.CV · 2014 · author #1

Mentions

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Frequent Coauthors

• Deqing Sun 7 shared papers
• Peter V. Gehler 7 shared papers
• Jan Kautz 6 shared papers
• Ming-Hsuan Yang 6 shared papers
• Raghudeep Gadde 4 shared papers
• Martin Kiefel 3 shared papers
• Michael J. Black 3 shared papers
• David Acuna 2 shared papers
• Erik Learned-Miller 2 shared papers
• Hang Su 2 shared papers
• Laura Sevilla-Lara 2 shared papers
• Sifei Liu 2 shared papers
• Aayush Prakash 1 shared papers
• Adam Letts 1 shared papers
• Andreas Blattmann 1 shared papers
• Andreas Geiger 1 shared papers
• Anurag Ranjan 1 shared papers
• Cem Anil 1 shared papers
• Charles Herrmann 1 shared papers
• Daniel Kappler 1 shared papers