63 citations · 154 across the 10 of their papers we have counts for
12 papers
DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer
Yuxuan Zhang, Katarína Tóthová, Zian Wang +7
Simulation is essential to the development and evaluation of autonomous robots such as self-driving vehicles. Neural reconstruction is emerging as a promising solution as it enable…
ArtiFixer: Enhancing and Extending 3D Reconstruction with Auto-Regressive Diffusion Models
Riccardo de Lutio, Tobias Fischer, Yen-Yu Chang +7
Per-scene optimization methods such as 3D Gaussian Splatting provide state-of-the-art novel view synthesis quality but extrapolate poorly to under-observed areas. Methods that leve…
Tracking Everything Everywhere All at Once
Qianqian Wang, Yen-Yu Chang, Ruojin Cai +4
We present a new test-time optimization method for estimating dense and long-range motion from a video sequence. Prior optical flow or particle video tracking algorithms typically…
Learning Object-Centric Neural Scattering Functions for Free-Viewpoint Relighting and Scene Composition
Hong-Xing Yu, Michelle Guo, Alireza Fathi +5
Photorealistic object appearance modeling from 2D images is a constant topic in vision and graphics. While neural implicit methods (such as Neural Radiance Fields) have shown high-…
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer
Ruohan Gao, Zilin Si, Yen-Yu Chang +5
Objects play a crucial role in our everyday activities. Though multisensory object-centric learning has shown great potential lately, the modeling of objects in prior work is rathe…
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders
Mikaela Angelina Uy, Yen-yu Chang, Minhyuk Sung +4
We propose Point2Cyl, a supervised network transforming a raw 3D point cloud to a set of extrusion cylinders. Reverse engineering from a raw geometry to a CAD model is an essential…
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations
Ruohan Gao, Yen-Yu Chang, Shivani Mall +2
Multisensory object-centric perception, reasoning, and interaction have been a key research topic in recent years. However, the progress in these directions is limited by the small…
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
Yanbang Wang, Yen-Yu Chang, Yunyu Liu +2
Temporal networks serve as abstractions of many real-world dynamic systems. These networks typically evolve according to certain laws, such as the law of triadic closure, which is…
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
Yen-Yu Chang, Pan Li, Rok Sosic +3
Edge streams are commonly used to capture interactions in dynamic networks, such as email, social, or computer networks. The problem of detecting anomalies or rare events in edge s…
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu +1
Human behaviors are regularized by a variety of norms or regulations, either to maintain orders or to enhance social welfare. If artificially intelligent (AI) agents make decisions…
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models
Yueh-Hua Wu, Fan-Yun Sun, Yen-Yu Chang +1
This work provides a thorough study on how reward scaling can affect performance of deep reinforcement learning agents. In particular, we would like to answer the question that how…
A Memory-Network Based Solution for Multivariate Time-Series Forecasting
Yen-Yu Chang, Fan-Yun Sun, Yueh-Hua Wu +1
Multivariate time series forecasting is extensively studied throughout the years with ubiquitous applications in areas such as finance, traffic, environment, etc. Still, concerns h…