activity
20162026
most citedIn Teacher We Trust: Learning Compressed Models for Pedestrian Detection

21 citations · 31 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2026

ynamics: Language-Based Representation for Inferring Rigid-Body Dynamics From Videos

Chia-Hsiang Kao, Cong Phuoc Huynh, Chien-Yi Wang +5

Inferring rigid-body physical states and properties from monocular videos is a fundamental step toward physics-based perception and simulation. Existing approaches assume specific…

math.PR2026

Fractional Macroscopic Fluctuation Theory for a Superdiffusive Ginzburg-Landau dynamics

Cedric Bernardin, Patricia Gonçalves, João Pedro Mangi

We investigate a boundary-driven Ginzburg-Landau dynamics with long-range interactions. In the hydrodynamic limit, the macroscopic evolution is governed by a fractional heat equati…

cs.CV2021

CRFace: Confidence Ranker for Model-Agnostic Face Detection Refinement

Noranart Vesdapunt, Baoyuan Wang

Face detection is a fundamental problem for many downstream face applications, and there is a rising demand for faster, more accurate yet support for higher resolution face detecto…

cs.CV2020★ 3 cited

Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting

Bindita Chaudhuri, Noranart Vesdapunt, Linda Shapiro +1

Traditional methods for image-based 3D face reconstruction and facial motion retargeting fit a 3D morphable model (3DMM) to the face, which has limited modeling capacity and fail t…

cs.CV2020

JNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling

Noranart Vesdapunt, Mitch Rundle, HsiangTao Wu +1

In this paper, we introduce a novel approach to learn a 3D face model using a joint-based face rig and a neural skinning network. Thanks to the joint-based representation, our mode…

cs.CV2019★ 5 cited

Joint Face Detection and Facial Motion Retargeting for Multiple Faces

Bindita Chaudhuri, Noranart Vesdapunt, Baoyuan Wang

Facial motion retargeting is an important problem in both computer graphics and vision, which involves capturing the performance of a human face and transferring it to another 3D c…

cs.CV2018

Automatic Stroke Lesions Segmentation in Diffusion-Weighted MRI

Noranart Vesdapunt, Nongluk Covavisaruch

Diffusion-Weighted Magnetic Resonance Imaging (DWI) is widely used for early cerebral infarct detection caused by ischemic stroke. Manual segmentation is done by a radiologist as a…

cs.CV2018★ 2 cited

Real-time Burst Photo Selection Using a Light-Head Adversarial Network

Baoyuan Wang, Noranart Vesdapunt, Utkarsh Sinha +1

We present an automatic moment capture system that runs in real-time on mobile cameras. The system is designed to run in the viewfinder mode and capture a burst sequence of frames…

cs.CV2018

Personalized Exposure Control Using Adaptive Metering and Reinforcement Learning

Huan Yang, Baoyuan Wang, Noranart Vesdapunt +2

We propose a reinforcement learning approach for real-time exposure control of a mobile camera that is personalizable. Our approach is based on Markov Decision Process (MDP). In th…

cs.CV2016★ 21 cited

In Teacher We Trust: Learning Compressed Models for Pedestrian Detection

Jonathan Shen, Noranart Vesdapunt, Vishnu N. Boddeti +1

Deep convolutional neural networks continue to advance the state-of-the-art in many domains as they grow bigger and more complex. It has been observed that many of the parameters o…

cs.CV2016

Comparison of Optimization Methods in Optical Flow Estimation

Noranart Vesdapunt, Utkarsh Sinha

Optical flow estimation is a widely known problem in computer vision introduced by Gibson, J.J(1950) to describe the visual perception of human by stimulus objects. Estimation of o…