Search Results for author: Zihan Zhou

Found 46 papers, 20 papers with code

MicroDreamer: Zero-shot 3D Generation in $\sim$20 Seconds by Score-based Iterative Reconstruction

1 code implementation30 Apr 2024 Luxi Chen, Zhengyi Wang, Zihan Zhou, Tingting Gao, Hang Su, Jun Zhu, Chongxuan Li

Optimization-based approaches, such as score distillation sampling (SDS), show promise in zero-shot 3D generation but suffer from low efficiency, primarily due to the high number of function evaluations (NFEs) required for each sample.

3D Generation 3D Reconstruction

From Time-inconsistency to Time-consistency for Optimal Stopping Problems

no code implementations3 Apr 2024 Sang Hu, Zihan Zhou

In particular, when in a repeated experiment the naive agent can observe her actual sequence of actions which are inconsistent with what she has planned at the initial time, she then chooses her immediate action based on the observations on her later actual behavior.

FlexiDreamer: Single Image-to-3D Generation with FlexiCubes

1 code implementation1 Apr 2024 Ruowen Zhao, Zhengyi Wang, Yikai Wang, Zihan Zhou, Jun Zhu

However, since directly reconstructing triangle meshes from multi-view images is challenging, most methodologies opt to an implicit representation (such as NeRF) during the sparse-view reconstruction and acquire the target mesh by a post-processing extraction.

3D Generation Image to 3D

On Diffusion Process in SE(3)-invariant Space

no code implementations3 Mar 2024 Zihan Zhou, Ruiying Liu, Jiachen Zheng, Xiaoxue Wang, Tianshu Yu

Sampling viable 3D structures (e. g., molecules and point clouds) with SE(3)-invariance using diffusion-based models proved promising in a variety of real-world applications, wherein SE(3)-invariant properties can be naturally characterized by the inter-point distance manifold.

MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization

1 code implementation18 Feb 2024 Zhiyu Yang, Zihan Zhou, Shuo Wang, Xin Cong, Xu Han, Yukun Yan, Zhenghao Liu, Zhixing Tan, Pengyuan Liu, Dong Yu, Zhiyuan Liu, Xiaodong Shi, Maosong Sun

Scientific data visualization plays a crucial role in research by enabling the direct display of complex information and assisting researchers in identifying implicit patterns.

Code Generation Data Visualization

On Accelerating Diffusion-based Molecular Conformation Generation in SE(3)-invariant Space

no code implementations7 Oct 2023 Zihan Zhou, Ruiying Liu, Tianshu Yu

Diffusion-based generative models in SE(3)-invariant space have demonstrated promising performance in molecular conformation generation, but typically require solving stochastic differential equations (SDEs) with thousands of update steps.

Model-Free, Regret-Optimal Best Policy Identification in Online CMDPs

no code implementations27 Sep 2023 Zihan Zhou, Honghao Wei, Lei Ying

PRI achieves trio objectives: (i) PRI is a model-free algorithm; and (ii) it outputs an approximately optimal policy with a high probability at the end of learning; and (iii) PRI guarantees $\tilde{\mathcal{O}}(H\sqrt{K})$ regret and constraint violation, which significantly improves the best existing regret bound $\tilde{\mathcal{O}}(H^4 \sqrt{SA}K^{\frac{4}{5}})$ under a model-free algorithm, where $H$ is the length of each episode, $S$ is the number of states, $A$ is the number of actions, and the total number of episodes during learning is $2K+\tilde{\cal O}(K^{0. 25}).$ We further present a matching lower via an example that shows under any online learning algorithm, there exists a well-separated CMDP instance such that either the regret or violation has to be $\Omega(H\sqrt{K}),$ which matches the upper bound by a polylogarithmic factor.

2k

NeRF-Enhanced Outpainting for Faithful Field-of-View Extrapolation

no code implementations23 Sep 2023 Rui Yu, Jiachen Liu, Zihan Zhou, Sharon X. Huang

In various applications, such as robotic navigation and remote visual assistance, expanding the field of view (FOV) of the camera proves beneficial for enhancing environmental perception.

Image Outpainting

Molecular Conformation Generation via Shifting Scores

no code implementations12 Sep 2023 Zihan Zhou, Ruiying Liu, Chaolong Ying, Ruimao Zhang, Tianshu Yu

Molecular conformation generation, a critical aspect of computational chemistry, involves producing the three-dimensional conformer geometry for a given molecule.

PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs

1 code implementation ICCV 2023 Wentao Hu, Jia Zheng, Zixin Zhang, Xiaojun Yuan, Jian Yin, Zihan Zhou

In this paper, we develop a new method to automatically convert 2D line drawings from three orthographic views into 3D CAD models.

3D Reconstruction

Scene Separation & Data Selection: Temporal Segmentation Algorithm for Real-Time Video Stream Analysis

1 code implementation1 Aug 2023 Yuelin Xin, Zihan Zhou, Yuxuan Xia

We present 2SDS (Scene Separation and Data Selection algorithm), a temporal segmentation algorithm used in real-time video stream interpretation.

Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward

1 code implementation30 Apr 2023 Zihan Zhou, Animesh Garg

We propose Structured Exploration with Achievements (SEA), a multi-stage reinforcement learning algorithm designed for achievement-based environments, a particular type of environment with an internal achievement set.

reinforcement-learning

Learning to Decouple Complex Systems

no code implementations3 Feb 2023 Zihan Zhou, Tianshu Yu

In this paper, we propose a sequential learning approach under this setting by decoupling a complex system for handling irregularly sampled and cluttered sequential observations.

Deep Learning Assisted Optimization for 3D Reconstruction from Single 2D Line Drawings

no code implementations6 Sep 2022 Jia Zheng, Yifan Zhu, Kehan Wang, Qiang Zou, Zihan Zhou

In this paper, we revisit the long-standing problem of automatic reconstruction of 3D objects from single line drawings.

3D Reconstruction

End-to-end Graph-constrained Vectorized Floorplan Generation with Panoptic Refinement

no code implementations27 Jul 2022 Jiachen Liu, Yuan Xue, Jose Duarte, Krishnendra Shekhawat, Zihan Zhou, Xiaolei Huang

In the first stage, we encode the room connectivity graph input by users with a graph convolutional network (GCN), then apply an autoregressive transformer network to generate an initial floorplan sequence.

Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization

no code implementations ICLR 2022 Zihan Zhou, Wei Fu, Bingliang Zhang, Yi Wu

We present Reward-Switching Policy Optimization (RSPO), a paradigm to discover diverse strategies in complex RL environments by iteratively finding novel policies that are both locally optimal and sufficiently different from existing ones.

Continuous Control

Lerna: Transformer Architectures for Configuring Error Correction Tools for Short- and Long-Read Genome Sequencing

no code implementations19 Dec 2021 Atul Sharma, Pranjal Jain, Ashraf Mahgoub, Zihan Zhou, Kanak Mahadik, Somali Chaterji

We also show that the alignment rate and assembly quality computed for the corrected reads are strongly negatively correlated with the perplexity, enabling the automated selection of k-mer values for better error correction, and hence, improved assembly quality.

Language Modelling

Deep Depth from Focus with Differential Focus Volume

1 code implementation CVPR 2022 Fengting Yang, Xiaolei Huang, Zihan Zhou

Depth-from-focus (DFF) is a technique that infers depth using the focus change of a camera.

Temporal Induced Self-Play for Stochastic Bayesian Games

1 code implementation21 Aug 2021 Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang

One practical requirement in solving dynamic games is to ensure that the players play well from any decision point onward.

Towards Robust Human Trajectory Prediction in Raw Videos

no code implementations18 Aug 2021 Rui Yu, Zihan Zhou

Human trajectory prediction has received increased attention lately due to its importance in applications such as autonomous vehicles and indoor robots.

Autonomous Vehicles Trajectory Forecasting

Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks

no code implementations22 Sep 2020 Rui Yu, Zhenyuan Yuan, Minghui Zhu, Zihan Zhou

Nowadays, the prevalence of sensor networks has enabled tracking of the states of dynamic objects for a wide spectrum of applications from autonomous driving to environmental monitoring and urban planning.

Autonomous Driving

Probing new physics with multi-vacua quantum tunnelings beyond standard model through gravitational waves

no code implementations30 Mar 2020 Zihan Zhou, Jun Yan, Andrea Addazi, Yi-Fu Cai, Antonino Marciano, Roman Pasechnik

We report on a novel phenomenon of particle cosmology, which features specific cosmological phase transitions via quantum tunnelings through multiple vacua.

Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology High Energy Physics - Phenomenology High Energy Physics - Theory

Superpixel Segmentation with Fully Convolutional Networks

1 code implementation CVPR 2020 Fengting Yang, Qian Sun, Hailin Jin, Zihan Zhou

In computer vision, superpixels have been widely used as an effective way to reduce the number of image primitives for subsequent processing.

Disparity Estimation Segmentation +2

Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning

1 code implementation ICLR 2020 Qian Long, Zihan Zhou, Abhibav Gupta, Fei Fang, Yi Wu, Xiaolong Wang

In multi-agent games, the complexity of the environment can grow exponentially as the number of agents increases, so it is particularly challenging to learn good policies when the agent population is large.

Multi-agent Reinforcement Learning reinforcement-learning +1

Neural Wireframe Renderer: Learning Wireframe to Image Translations

1 code implementation ECCV 2020 Yuan Xue, Zihan Zhou, Xiaolei Huang

To this end, we propose a novel model based on a structure-appearance joint representation learned from both images and wireframes.

Image Generation Translation

Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling

1 code implementation ECCV 2020 Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, Zihan Zhou

Recently, there has been growing interest in developing learning-based methods to detect and utilize salient semi-global or global structures, such as junctions, lines, planes, cuboids, smooth surfaces, and all types of symmetries, for 3D scene modeling and understanding.

Room Layout Estimation

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

1 code implementation13 May 2019 Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Wei-Nan Zhang, Yong Yu, Haiming Jin, Zhenhui Li

The most commonly used open-source traffic simulator SUMO is, however, not scalable to large road network and large traffic flow, which hinders the study of reinforcement learning on traffic scenarios.

Multi-agent Reinforcement Learning reinforcement-learning +1

Image Based Review Text Generation with Emotional Guidance

no code implementations14 Jan 2019 Xuehui Sun, Zihan Zhou, Yuda Fan

Therefore, we aimed at a new field concerning generating review text from customers based on images together with the ratings of online shopping products, which appear as non-image attributes.

Image Captioning Text Generation

Recovering 3D Planes from a Single Image via Convolutional Neural Networks

1 code implementation ECCV 2018 Fengting Yang, Zihan Zhou

In this paper, we study the problem of recovering 3D planar surfaces from a single image of man-made environment.

Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval

no code implementations15 Aug 2016 Zihan Zhou, Farshid Farhat, James Z. Wang

To overcome this difficulty, we propose a novel vanishing point detection method that exploits global structures in the scene via contour detection.

Contour Detection Image Retrieval +1

Graph Construction with Label Information for Semi-Supervised Learning

no code implementations8 Jul 2016 Liansheng Zhuang, Zihan Zhou, Jingwen Yin, Shenghua Gao, Zhouchen Lin, Yi Ma, Nenghai Yu

In the literature, most existing graph-based semi-supervised learning (SSL) methods only use the label information of observed samples in the label propagation stage, while ignoring such valuable information when learning the graph.

graph construction Graph Learning

Modeling Photographic Composition via Triangles

no code implementations31 May 2016 Zihan Zhou, Siqiong He, Jia Li, James Z. Wang

The capacity of automatically modeling photographic composition is valuable for many real-world machine vision applications such as digital photography, image retrieval, image understanding, and image aesthetics assessment.

Image Retrieval Retrieval

Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer

no code implementations CVPR 2013 Liansheng Zhuang, Allen Y. Yang, Zihan Zhou, S. Shankar Sastry, Yi Ma

To compensate the missing illumination information typically provided by multiple training images, a sparse illumination transfer (SIT) technique is introduced.

Face Alignment Face Recognition +1

Plane-Based Content Preserving Warps for Video Stabilization

no code implementations CVPR 2013 Zihan Zhou, Hailin Jin, Yi Ma

Recently, a new image deformation technique called content-preserving warping (CPW) has been successfully employed to produce the state-of-the-art video stabilization results in many challenging cases.

Novel View Synthesis Video Stabilization

Sparsity and Robustness in Face Recognition

no code implementations3 Nov 2011 John Wright, Arvind Ganesh, Allen Yang, Zihan Zhou, Yi Ma

This report concerns the use of techniques for sparse signal representation and sparse error correction for automatic face recognition.

Face Recognition Robust Face Recognition

Fast L1-Minimization Algorithms For Robust Face Recognition

no code implementations21 Jul 2010 Allen Y. Yang, Zihan Zhou, Arvind Ganesh, S. Shankar Sastry, Yi Ma

L1-minimization refers to finding the minimum L1-norm solution to an underdetermined linear system b=Ax.

Compressive Sensing Face Recognition +1

Fast L1-Minimization Algorithms For Robust Face Recognition

1 code implementation21 Jul 2010 Allen Y. Yang, Zihan Zhou, Arvind Ganesh, S. Shankar Sastry, Yi Ma

L1-minimization refers to finding the minimum L1-norm solution to an underdetermined linear system b=Ax.

Compressive Sensing Face Recognition +1

Stable Principal Component Pursuit

1 code implementation14 Jan 2010 Zihan Zhou, XiaoDong Li, John Wright, Emmanuel Candes, Yi Ma

We further prove that the solution to a related convex program (a relaxed PCP) gives an estimate of the low-rank matrix that is simultaneously stable to small entrywise noise and robust to gross sparse errors.

Information Theory Information Theory

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