Senior Computer Vision Researcher, Human Detection

6 days ago


Auckland City, New Zealand Tencent Full time

Work Mode:
Hybrid

**Responsibilities**:
LightSpeed Tech Center is a centralized platform for LightSpeed Studios, including game engine, audio, QA, AI, tech partnership, research & development, and other tech-related teams.

**Responsibilities**:

- R&D on the techniques of computer vision and computer graphics in the cutting-edge 3D video-gaming scenarios.
- Work with the world's top full-stack gaming development team to deliver algorithm systems involving face/body reconstruction, expression/motion tracking and retargeting, music-driven dance generation, speech lip synchronization, as well as other CV / CG related researches including but not limited to image understanding, generation, NeRF, camera pose estimation, pedestrian tracking&ReID, rendering, etc.
- Follow the state of the art of related direction, and provide inspiring ideas for business development. Collaboration with other studios/groups within our organization, explore pioneer game design techniques and generation approaches to improve end players' game experience.

**Requirements**:

- Major in Computer Science, with distinguished work (including but not limited to published papers, industrial projects, etc.) in related fields, and experience in both computer vision and computer graphics.
- Familiar with human face research areas, e.g.: face recognition, face key point detection, face parsing, face re-lighting, face editing, portrait style transfer, etc.
- Familiar with human body research areas, including person re-id, person detection, person tracking, body key point detection with 2D/3D input using monocular/multi-view information source, motion retargeting, action generation based on neural networks.
- Better with experience dealing with challenging scenes: multi-person settings, severe occlusion conditions, etc. Better to have experience involving graphics modeling, rigging / skinning, animation, rendering, etc. Good coding skills, familiar with popular deep learning frameworks (e.g. PyTorch, TensorFlow).
- Experience in deep model compression, deep model acceleration are highly welcome.
- Good abilities in analyzing problems; full of enthusiasm for challenges. Better to have outstanding research abilities, authors published influential papers in CV Top conferences (e.g. SIGGRAPH, SIGGRAPH ASIA, CVPR, ICCV, ECCV, NeurIPS, TPAMI, ToG, IJCV) are highly welcome
- Positive stress tolerance ability; Good understanding of business intentions.
- Devoted to Games



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