collaborators

7 papers

cs.CV2026

Watching Movies Like a Human: Egocentric Emotion Understanding for Embodied Companions

Ze Dong, Hao Shi, Zejia Gao +3

Embodied robotic agents often perceive movies through an egocentric screen-view interface rather than native cinematic footage, introducing domain shifts such as viewpoint distorti…

cs.CV2026

Towards Universal Computational Aberration Correction in Photographic Cameras: A Comprehensive Benchmark Analysis

Xiaolong Qian, Qi Jiang, Yao Gao +5

Prevalent Computational Aberration Correction (CAC) methods are typically tailored to specific optical systems, leading to poor generalization and labor-intensive re-training for n…

cs.LG2026

OPTIAGENT: A Physics-Driven Agentic Framework for Automated Optical Design

Yuyu Geng, Lei Sun, Yao Gao +6

Optical design is the process of configuring optical elements to precisely manipulate light for high-fidelity imaging. It is inherently a highly non-convex optimization problem tha…

eess.IV2024

Benchmarking the Robustness of Optical Flow Estimation to Corruptions

Zhonghua Yi, Hao Shi, Qi Jiang +5

Optical flow estimation is extensively used in autonomous driving and video editing. While existing models demonstrate state-of-the-art performance across various benchmarks, the r…

cs.CV2024

EI-Nexus: Towards Unmediated and Flexible Inter-Modality Local Feature Extraction and Matching for Event-Image Data

Zhonghua Yi, Hao Shi, Qi Jiang +5

Event cameras, with high temporal resolution and high dynamic range, have limited research on the inter-modality local feature extraction and matching of event-image data. We propo…

cs.CV2024

Towards Single-Lens Controllable Depth-of-Field Imaging via Depth-Aware Point Spread Functions

Xiaolong Qian, Qi Jiang, Yao Gao +8

Controllable Depth-of-Field (DoF) imaging commonly produces amazing visual effects based on heavy and expensive high-end lenses. However, confronted with the increasing demand for…