16 citations · 20 across the 9 of their papers we have counts for
9 papers
iHuman: Instant Animatable Digital Humans From Monocular Videos
Pramish Paudel, Anubhav Khanal, Ajad Chhatkuli +2
Personalized 3D avatars require an animatable representation of digital humans. Doing so instantly from monocular videos offers scalability to broad class of users and wide-scale a…
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning
Bin Ren, Guofeng Mei, Danda Pani Paudel +6
Contrastive learning (CL) for Vision Transformers (ViTs) in image domains has achieved performance comparable to CL for traditional convolutional backbones. However, in 3D point cl…
A Unified and Interpretable Emotion Representation and Expression Generation
Reni Paskaleva, Mykyta Holubakha, Andela Ilic +3
Canonical emotions, such as happy, sad, and fearful, are easy to understand and annotate. However, emotions are often compound, e.g. happily surprised, and can be mapped to the act…
Deformable Neural Radiance Fields using RGB and Event Cameras
Qi Ma, Danda Pani Paudel, Ajad Chhatkuli +1
Modeling Neural Radiance Fields for fast-moving deformable objects from visual data alone is a challenging problem. A major issue arises due to the high deformation and low acquisi…
Prior Based Online Lane Graph Extraction from Single Onboard Camera Image
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel +1
The local road network information is essential for autonomous navigation. This information is commonly obtained from offline HD-Maps in terms of lane graphs. However, the local ro…
Online Lane Graph Extraction from Onboard Video
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel +1
Autonomous driving requires a structured understanding of the surrounding road network to navigate. One of the most common and useful representation of such an understanding is don…