17 citations · 32 across the 10 of their papers we have counts for
12 papers
3DiFACE: Synthesizing and Editing Holistic 3D Facial Animation
Balamurugan Thambiraja, Malte Prinzler, Sadegh Aliakbarian +2
Creating personalized 3D animations with precise control and realistic head motions remains challenging for current speech-driven 3D facial animation methods. Editing these animati…
DAViD: Data-efficient and Accurate Vision Models from Synthetic Data
Fatemeh Saleh, Sadegh Aliakbarian, Charlie Hewitt +5
The state of the art in human-centric computer vision achieves high accuracy and robustness across a diverse range of tasks. The most effective models in this domain have billions…
Look Ma, no markers: holistic performance capture without the hassle
Charlie Hewitt, Fatemeh Saleh, Sadegh Aliakbarian +8
We tackle the problem of highly-accurate, holistic performance capture for the face, body and hands simultaneously. Motion-capture technologies used in film and game production typ…
SimpleEgo: Predicting Probabilistic Body Pose from Egocentric Cameras
Hanz Cuevas-Velasquez, Charlie Hewitt, Sadegh Aliakbarian +1
Our work addresses the problem of egocentric human pose estimation from downwards-facing cameras on head-mounted devices (HMD). This presents a challenging scenario, as parts of th…
3DiFACE: Diffusion-based Speech-driven 3D Facial Animation and Editing
Balamurugan Thambiraja, Sadegh Aliakbarian, Darren Cosker +1
We present 3DiFACE, a novel method for personalized speech-driven 3D facial animation and editing. While existing methods deterministically predict facial animations from speech, t…
HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations
Sadegh Aliakbarian, Fatemeh Saleh, David Collier +2
Generating both plausible and accurate full body avatar motion is the key to the quality of immersive experiences in mixed reality scenarios. Head-Mounted Devices (HMDs) typically…
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
Siwei Zhang, Qianli Ma, Yan Zhang +3
Automatic perception of human behaviors during social interactions is crucial for AR/VR applications, and an essential component is estimation of plausible 3D human pose and shape…
Imitator: Personalized Speech-driven 3D Facial Animation
Balamurugan Thambiraja, Ikhsanul Habibie, Sadegh Aliakbarian +3
Speech-driven 3D facial animation has been widely explored, with applications in gaming, character animation, virtual reality, and telepresence systems. State-of-the-art methods de…
FLAG: Flow-based 3D Avatar Generation from Sparse Observations
Sadegh Aliakbarian, Pashmina Cameron, Federica Bogo +2
To represent people in mixed reality applications for collaboration and communication, we need to generate realistic and faithful avatar poses. However, the signal streams that can…
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking
Fatemeh Saleh, Sadegh Aliakbarian, Hamid Rezatofighi +2
Despite the recent advances in multiple object tracking (MOT), achieved by joint detection and tracking, dealing with long occlusions remains a challenge. This is due to the fact t…
Deep Sequence Learning for Video Anticipation: From Discrete and Deterministic to Continuous and Stochastic
Sadegh Aliakbarian
Video anticipation is the task of predicting one/multiple future representation(s) given limited, partial observation. This is a challenging task due to the fact that given limited…
Uncertainty Inspired RGB-D Saliency Detection
Jing Zhang, Deng-Ping Fan, Yuchao Dai +4
We propose the first stochastic framework to employ uncertainty for RGB-D saliency detection by learning from the data labeling process. Existing RGB-D saliency detection models tr…