7 accepted papers
Spatio-temporal forecasting is inherently bottlenecked by a phenomenon we term Spatio-Temporal Duality: the paradoxical coexistence of time-varying physical lags and instantaneous semantic synchrony. Constrained by passive coupling, existing architectures often employ indiscriminate spatial aggregat
Unsupervised Environment Design (UED) offers a promising paradigm for improving reinforcement learning generalization by adaptively shaping training environments, but it requires reliable environment evaluation to remain effective. However, existing UED methods evaluate environments using indirect p…
Colonoscopy is vital for detecting colorectal polyps, which are closely linked to colorectal cancer. Accurate segmentation of polyps in colonoscopic images is essential for diagnosis and surgical planning but is challenging due to variability in polyp size, shape, and unclear boundaries. The Segment…
Humans can accomplish complex contact-rich tasks using vision and touch, with highly reactive capabilities such as quick adjustments to environmental changes and adaptive control of contact forces; however, this remains challenging for robots. Existing visual imitation learning (IL) approaches rely…
Category-Agnostic Pose Estimation (CAPE) aims to estimate the pose of arbitrary categories based on a few examples with keypoint definitions. Existing methods leverage a similarity matching process between support keypoint features and query image features to achieve CAPE. However, these methods mai…
Face recognition is a widely used biometric technology due to its convenience but it is vulnerable to spoofing attacks made by non-real faces such as a photograph or video of valid user. Face liveness detection is a core technology to make sure that the input face is a live person. However, this is…
Remote imaging photoplethysmography (RIPPG) can achieve contactless human vital signs monitoring. Though the remote operation mode brings a great convenience for RIPPG applications, the RIPPG signal quality is limited by the remote nature. Improving the RIPPG signal quality becomes an essential task…