activity
20202024
most citedMLCVNet: Multi-Level Context VoteNet for 3D Object Detection

28 citations · 100 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2024

Training-Free Video Editing via Optical Flow-Enhanced Score Distillation

Lianghan Zhu, Yanqi Bao, Jing Huo +4

The rapid advancement in visual generation, particularly the emergence of pre-trained text-to-image and text-to-video models, has catalyzed growing interest in training-free video…

cs.CV2023★ 2 cited

Feature Proliferation -- the "Cancer" in StyleGAN and its Treatments

Shuang Song, Yuanbang Liang, Jing Wu +2

Despite the success of StyleGAN in image synthesis, the images it synthesizes are not always perfect and the well-known truncation trick has become a standard post-processing techn…

cs.RO2023★ 22 cited

Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective

Xintong Yang, Ze Ji, Jing Wu +1

As a popular concept proposed in the field of psychology, affordance has been regarded as one of the important abilities that enable humans to understand and interact with the envi…

cs.RO2022★ 3 cited

Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning

Xintong Yang, Ze Ji, Jing Wu +1

Although Deep Reinforcement Learning (DRL) has been popular in many disciplines including robotics, state-of-the-art DRL algorithms still struggle to learn long-horizon, multi-step…

cs.CV2022★ 1 cited

Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling

Yuanbang Liang, Jing Wu, Yu-Kun Lai +1

Despite the extensive studies on Generative Adversarial Networks (GANs), how to reliably sample high-quality images from their latent spaces remains an under-explored topic. In thi…

cs.CV2022

Playing Lottery Tickets in Style Transfer Models

Meihao Kong, Jing Huo, Wenbin Li +3

Style transfer has achieved great success and attracted a wide range of attention from both academic and industrial communities due to its flexible application scenarios. However,…

cs.RO2021★ 19 cited

An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet

Xintong Yang, Ze Ji, Jing Wu +1

This work re-implements the OpenAI Gym multi-goal robotic manipulation environment, originally based on the commercial Mujoco engine, onto the open-source Pybullet engine. By compa…

cs.RO2020★ 7 cited

A Generalized Robotic Handwriting Learning System based on Dynamic Movement Primitives (DMPs)

Qian Luo, Jing Wu, Matthew Gombolay

Learning from demonstration (LfD) is a powerful learning method to enable a robot to infer how to perform a task given one or more human demonstrations of the desired task. By lear…

cs.CV2020★ 1 cited

Manifold Alignment for Semantically Aligned Style Transfer

Jing Huo, Shiyin Jin, Wenbin Li +4

Most existing style transfer methods follow the assumption that styles can be represented with global statistics (e.g., Gram matrices or covariance matrices), and thus address the…

cs.CV2020★ 28 cited

MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

Qian Xie, Yu-Kun Lai, Jing Wu +4

In this paper, we address the 3D object detection task by capturing multi-level contextual information with the self-attention mechanism and multi-scale feature fusion. Most existi…

cs.CV2020★ 17 cited

MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration

Haodi Hou, Jing Huo, Jing Wu +2

Given an input face photo, the goal of caricature generation is to produce stylized, exaggerated caricatures that share the same identity as the photo. It requires simultaneous sty…