Search Results for author:
Found 10 papers, 7 papers with code
MaSkel: A Model for Human Whole-body X-rays Generation from Human Masking Images
In our work, We proposed a new method to directly generate the 2D human whole-body X-rays from the human masking images.
CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition
Using a large multilingual audio corpus and self-supervised learning, CLARA develops speech representations enriched with emotions, advancing emotion-aware multilingual speech processing.
EMNS /Imz/ Corpus: An emotive single-speaker dataset for narrative storytelling in games, television and graphic novels
The increasing adoption of text-to-speech technologies has led to a growing demand for natural and emotive voices that adapt to a conversation's context and emotional tone.
Surgical Instruction Generation with Transformers
Automatic surgical instruction generation is a prerequisite towards intra-operative context-aware surgical assistance.
Skeleton-bridged Point Completion: From Global Inference to Local Adjustment
Existing works usually estimate the missing shape by decoding a latent feature encoded from the input points.
Symmetric Dilated Convolution for Surgical Gesture Recognition
The experiment results demonstrate the ability of our method on capturing long-term frame dependencies, which largely outperform the state-of-the-art methods on the frame-wise accuracy up to ~6 points and the F1@50 score ~6 points.
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
Semantic reconstruction of indoor scenes refers to both scene understanding and object reconstruction.
Ranked #2 on
3D Shape Reconstruction
on Pix3D
Shallow2Deep: Indoor Scene Modeling by Single Image Understanding
Particularly, we design a shallow-to-deep architecture on the basis of convolutional networks for semantic scene understanding and modeling.
Context-Aware Mixed Reality: A Framework for Ubiquitous Interaction
Mixed Reality (MR) is a powerful interactive technology that yields new types of user experience.
Augmented Reality for Depth Cues in Monocular Minimally Invasive Surgery
In vivo laparoscopic videos used in the tests have demonstrated the robustness and accuracy of our proposed framework on both camera tracking and surface reconstruction, illustrating the potential of our algorithm for depth augmentation and depth-corrected augmented reality in MIS with monocular endoscopes.
Simultaneous Localization and Mapping
Surface Reconstruction
