Paper-Conference

AnyAvatar: High-Fidelity Gaussian Head Avatars under Uncalibrated Camera Settings

Accepted for ACM International Conference on Multimedia (ACM MM) 2026. Proceedings details will be added when available.

Visit the authors’ project page.

Cite Project
MPFusion-MIL: Morphology-Guided Fusion with Precise Cross-Scale Interaction for Whole Slide Image Analysis

Accepted for ACM International Conference on Multimedia (ACM MM) 2026. Proceedings details will be added when available.

Cite
PyraE2E: Enhancing End-to-End WSI Analysis via Cross-Scale Super-Resolution

Accepted for European Conference on Computer Vision (ECCV) 2026. Proceedings details will be added when available.

View the conference’s accepted-paper list.

Cite Accepted papers
SyncAnimation: A Real-Time End-to-End Framework for Audio-Driven Human Pose and Talking Head Animation

Read the conference record for the abstract and access options.

Cite DOI
Physically Informed Deep Learning for Accelerated Photosensitizer Discovery
Photodynamic therapy is arising as a non-invasive treatment modality for cancer and other diseases. One of the key factors to determine the therapeutic function is the efficiency of photosensitizers (PSs). According to the latest studies, reducing the energy gap (ΔEST) between the lowest excited singlet state (S1) and lowest excited triplet state (T1) was an effective approach to yield highly efficient PSs and ΔEST could be fine-tuned through precise molecular donor-acceptor engineering. There is a growing literature where small families of small-ΔEST PS compounds are explored experimentally, or purely computationally at a slightly larger scale. Here, we report a large-scale data-driven search for novel PSs, with a special focus on red PS. This work employed a collaborative approach encompassing computational quantum chemistry, machine learning, organic synthesis, and nanoagent fabrication and testing.
Cite Conference abstract