output
20172026
most citedFollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling

88 citations

14 papers

cs.CV2026

AlignVAR: Towards Globally Consistent Visual Autoregression for Image Super-Resolution

Cencen Liu, Dongyang Zhang, Wen Yin +6

Visual autoregressive (VAR) models have recently emerged as a promising alternative for image generation, offering stable training, non-iterative inference, and high-fidelity synth…

cond-mat.quant-gas2025★ 1 cited

Vacuum tunneling of vortices in two-dimensional He superfluid films

Michael J. Desrochers, Dominic Marchand, P. C. E. Stamp

At low temperature T we expect vacuum tunneling processes to occur in superfluid He films. We distinguish between extrinsic processes, in which single vortices nucleate by t…

cs.AI2024★ 61 cited

LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models

Mingxing Peng, Xusen Guo, Xianda Chen +2

To ensure safe driving in dynamic environments, autonomous vehicles should possess the capability to accurately predict lane change intentions of surrounding vehicles in advance an…

math.LO2023

Piecewise convex embeddability on linear orders

Martina Iannella, Alberto Marcone, Luca Motto Ros +1

Given a nonempty set of linear orders, we say that the linear order is -convex embeddable into the linear order if it is possible to partition $…

cs.CV2023★ 88 cited

FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling

Xianda Chen, Meixin Zhu, Kehua Chen +5

Car-following is a control process in which a following vehicle (FV) adjusts its acceleration to keep a safe distance from the lead vehicle (LV). Recently, there has been a booming…

cs.RO2020★ 29 cited

Risk-Aware Motion Planning for a Limbed Robot with Stochastic Gripping Forces Using Nonlinear Programming

Yuki Shirai, Xuan Lin, Yusuke Tanaka +2

We present a motion planning algorithm with probabilistic guarantees for limbed robots with stochastic gripping forces. Planners based on deterministic models with a worst-case unc…

cs.CV2018★ 4 cited

A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI

Risheng Liu, Yuxi Zhang, Shichao Cheng +2

Magnetic Resonance Imaging (MRI) is one of the most dynamic and safe imaging techniques available for clinical applications. However, the rather slow speed of MRI acquisitions limi…

cs.LG2018★ 1 cited

Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-convex Optimization

Yiyang Wang, Risheng Liu, Long Ma +1

We in this paper propose a realizable framework TECU, which embeds task-specific strategies into update schemes of coordinate descent, for optimizing multivariate non-convex proble…

cs.CV2018★ 3 cited

On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems

Risheng Liu, Shichao Cheng, Yi He +3

Numerous tasks at the core of statistics, learning and vision areas are specific cases of ill-posed inverse problems. Recently, learning-based (e.g., deep) iterative methods have b…

cs.SI2018★ 4 cited

Detecting Statistically Significant Communities

Zengyou He, Hao Liang, Zheng Chen +1

Community detection is a key data analysis problem across different fields. During the past decades, numerous algorithms have been proposed to address this issue. However, most wor…

cs.SE2018

Automated Localization for Unreproducible Builds

Zhilei Ren, He Jiang, Jifeng Xuan +1

Reproducibility is the ability of recreating identical binaries under pre-defined build environments. Due to the need of quality assurance and the benefit of better detecting attac…

cs.CR2018

Optimal Grassmann Manifold Eavesdropping: A Huge Security Disaster for M-1-2 Wiretap Channels

Dongyang Xu, Pinyi Ren, James A. Ritcey

We in this paper introduce an advanced eavesdropper that aims to paralyze the artificial-noise-aided secure communications. We consider the M-1-2 Gaussian MISO wiretap channel, whi…

eess.SP2018

Optimal Independence-Checking Coding For Secure Uplink Training in Large-Scale MISO-OFDM Systems

Dongyang Xu, Pinyi Ren, James A. Ritcey

Due to the publicly-known deterministic character- istic of pilot tones, pilot-aware attack, by jamming, nulling and spoofing pilot tones, can significantly paralyze the uplink cha…

cs.CV2017★ 5 cited

Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond

Risheng Liu, Xin Fan, Minjun Hou +3

Single image dehazing is an important low-level vision task with many applications. Early researches have investigated different kinds of visual priors to address this problem. How…