675 citations · 766 across the 10 of their papers we have counts for
10 papers
GM-NeRF: Learning Generalizable Model-based Neural Radiance Fields from Multi-view Images
Jianchuan Chen, Wentao Yi, Liqian Ma +2
In this work, we focus on synthesizing high-fidelity novel view images for arbitrary human performers, given a set of sparse multi-view images. It is a challenging task due to the…
Sim2Real: Actively Building Explicit Physics Model for Precise Articulated Object Manipulation
Liqian Ma, Jiaojiao Meng, Shuntao Liu +3
Accurately manipulating articulated objects is a challenging yet important task for real robot applications. In this paper, we present a novel framework called Sim2Real to enab…
Adaptive Mimic: Deep Reinforcement Learning of Parameterized Bipedal Walking from Infeasible References
Chong Zhang, Qi Wu, Liqian Ma +1
Not until recently, robust robot locomotion has been achieved by deep reinforcement learning (DRL). However, for efficient learning of parametrized bipedal walking, developed refer…
Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild
Liqian Ma, Zhe Lin, Connelly Barnes +2
Due to the ubiquity of smartphones, it is popular to take photos of one's self, or "selfies." Such photos are convenient to take, because they do not require specialized equipment…
A Novel BiLevel Paradigm for Image-to-Image Translation
Liqian Ma, Qianru Sun, Bernt Schiele +1
Image-to-image (I2I) translation is a pixel-level mapping that requires a large number of paired training data and often suffers from the problems of high diversity and strong cate…
Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency
Liqian Ma, Xu Jia, Stamatios Georgoulis +2
Image-to-image translation has recently received significant attention due to advances in deep learning. Most works focus on learning either a one-to-one mapping in an unsupervised…
Disentangled Person Image Generation
Liqian Ma, Qianru Sun, Stamatios Georgoulis +3
Generating novel, yet realistic, images of persons is a challenging task due to the complex interplay between the different image factors, such as the foreground, background and po…
Natural and Effective Obfuscation by Head Inpainting
Qianru Sun, Liqian Ma, Seong Joon Oh +3
As more and more personal photos are shared online, being able to obfuscate identities in such photos is becoming a necessity for privacy protection. People have largely resorted t…
Pose Guided Person Image Generation
Liqian Ma, Xu Jia, Qianru Sun +3
This paper proposes the novel Pose Guided Person Generation Network (PG) that allows to synthesize person images in arbitrary poses, based on an image of that person and a nove…
Orientation Driven Bag of Appearances for Person Re-identification
Liqian Ma, Hong Liu, Liang Hu +2
Person re-identification (re-id) consists of associating individual across camera network, which is valuable for intelligent video surveillance and has drawn wide attention. Althou…