Publications (10)
SyncFix: Fixing 3D Reconstructions via Multi-View Synchronization
Deming Li, Abhay Yadav, Cheng Peng +2
We present SyncFix, a framework that enforces cross-view consistency during the diffusion-based refinement of reconstructed scenes. SyncFix formulates refinement as a joint latent…
MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild
Deming Li, Kaiwen Jiang, Yutao Tang +3
In-the-wild photo collections often contain limited volumes of imagery and exhibit multiple appearances, e.g., taken at different times of day or seasons, posing significant challe…
Spatial-offset pump-probe imaging of nonradiative dynamics at optical resolution
Guo Chen, Yuhao Yuan, Hongli Ni +9
Nonradiative photothermal (PT) and photoacoustic (PA) processes have found widespread applications in imaging, stimulation, and therapy. Mapping the generation and propagation of P…
Powerful supercontinuum vortices generated by femtosecond vortex beams with thin plates
Litong Xu, Dongwei Li, Junwei Chang +3
We demonstrate numerically and experimentally the generation of powerful supercontinuum vortices from femtosecond vortex beams by using multiple thin fused silica plates. The super…
SPARS3R: Semantic Prior Alignment and Regularization for Sparse 3D Reconstruction
Yutao Tang, Yuxiang Guo, Deming Li +1
Recent efforts in Gaussian-Splat-based Novel View Synthesis can achieve photorealistic rendering; however, such capability is limited in sparse-view scenarios due to sparse initial…
Robust Betatron-Tune Measurement from Schottky Spectra: Complementary Classical and Deep-Learning Paradigms
Peihan Sun, Manzhou Zhang, Renxian Yuan +2
The paper presents two methods—a classical matched‑filter approach and a deep‑learning CNN with Bayesian tracking—to measure betatron tune from noisy Schottky spectra in medical pr…
BAGS: Blur Agnostic Gaussian Splatting through Multi-Scale Kernel Modeling
Cheng Peng, Yutao Tang, Yifan Zhou +4
Recent efforts in using 3D Gaussians for scene reconstruction and novel view synthesis can achieve impressive results on curated benchmarks; however, images captured in real life a…
Real-Time-Capable Betatron Tune Measurement from Schottky Spectra Using Deep Learning and Uncertainty-Aware Kalman Filtering
Peihan Sun, Manzhou Zhang, Renxian Yuan +3
Betatron tune measurement is essential for beam control in compact proton-therapy synchrotrons, yet conventional peak-detection techniques are not robust under the low signal-to-no…
High-Accuracy Schottky Diagnostics for Low-SNR Betatron Tune Measurement in Ramping Synchrotrons
Peihan Sun, Manzhou Zhang, Renxian Yuan +3
This study introduces a novel real-time betatron tune measurement algorithm, utilizing Schottky signals and an FPGA-based backend architecture, specifically designed for rapidly ra…
On extremal cacti with respect to the edge revised Szeged index
Shengjie He, Rong-Xia Hao, Deming Li
Let be a connected graph. The edge revised Szeged index of is defined as $Sz^{\ast}_{e}(G)=\sum\limits_{e=uv\in E(G)}(m_{u}(e|G)+\frac{m_{0}(e|G)}{2})(m_{v}(e|G)+\frac{m_{0…