Contribute to exciting and high visibility projects that will push the state-of-the-art in image/video understanding, computer vision and deep learning. This will involve generation and evaluation of novel ideas, presentation of these ideas to peers and customers and participation in engineering these ideas for real-world systems. The successful candidate will also have ample opportunities to lead projects based on their generated ideas. Our research group offers a dynamic, fun, and intellectually stimulating environment for cutting-edge research.
Areas of interest include but are not limited to: object classification/detection/reidentification; object tracking and association; human pose and gesture recognition; activity classification/detection/recognition; 3D modeling and reconstruction; semantic/instance/panoptic segmentation; feature extraction and matching; face detection/verification/recognition; face-based liveness detection and anti-spoofing; image and video synthesis; image denoising and quality improvement; deep embedding learning; and adversarial learning such as generative adversarial networks. Candidate should be conversant with the latest development in deep learning for visual recognition and video analytics, including the latest deep model compression and optimization techniques for edge inference and training. The ideal candidate possesses an impressive educational background in related fields with a strong publication record, and can demonstrate both the breadth and the depth of knowledge that is required to solve challenging problems in real-world scenarios.
ObjectVideo Labs offers competitive pay and a generous benefits package including health and welfare benefits, 401(k) with employer match, paid holidays, paid time off, and paid maternity/paternity leave. We offer a casual work environment, gym subsidy, education assistance program, and in-suite bike racks and showers.
ObjectVideo Labs is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by law.
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