Research

Declaration

I regularly post my research products here including publications, data, code and surveys. Anything published here is free to use, but please consider quoting me.

Publications

Category	Title	Date
Chemical Engineering	Enhancement of hollow Ni/CeO2-Co3O4 for CO2 methanation: From CO2 adsorption and activation by synergistic effects rendering visualization simulation	2023-04

Surveys

Here is a compilation of selected papers for which I have written personal survey notes.

Category	Paper	Fresh
Motion Synthesis	GenMM: Example-based Motion Synthesis via Generative Motion Matching complex skeleton non-human-specific motion matching motion patch trainless reproductive	2023-06
	DIMOS: Synthesizing Diverse Human Motions in 3D Indoor Scenes locomotion2motion interaction2motion scene-aware body markers walkability map cVAE RL generative	2023-05
	MoFusion-MP: A Framework for Denoising-Diffusion-based Motion Synthesis music2motion text2motion diffusion generative	2023-05
	SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation text2motion spatial motion composition prompt engineering VAE GPT generative	2023-04
	TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration music2motion text2motion music-text2motion VQ-AE fusion NMT generative	2023-04
	T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations text2motion VQ-VAE GPT generative	2023-01
	MoDi: Unconditional Motion Synthesis from Diverse Data unconditional motion manifold skeleton-aware convolution StyleGAN generative	2022-12
	MoFusion-DAMO: Pretrained Diffusion Models for Unified Human Motion Synthesis context2motion music2motion text2motion diffusion generative	2022-12
	OOHMG: Open-vocabulary Text-to-Motion Generation with Wordless Training text2motion text2pose pose2motion open-vocabulary prompt engineering AE generative	2022-10
	HumanMDM: Human Motion Diffusion Model action2motion text2motion classifier-free guidance diffusion generative	2022-09
	TEACH: Temporal Action Composition for 3D Humans text2motion temporal motion composition VAE generative	2022-09
	MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model text2motion diffusion generative	2022-08
	TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts text2motion motion2text VQ-AE NMT generative	2022-08
	NeMF: Neural Motion Fields for Kinematic Animation motion in-betweening motion renavigating motion manifold VAE INR generative	2022-06
	Generating Diverse and Natural 3D Human Motions from Text text2motion VAE dataset generative	2022-06
	RCMTC: Real-time Controllable Motion Transition for Characters motion in-betweening realtime motion manifold VAE MoEs generative	2022-05
	ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters physics-based motion transitions motion manifold reinforcement learning GAN generative	2022-05
	TEMOS: Generating diverse human motions from textual descriptions text2motion VAE generative	2022-04
	MotionINR: Implicit Neural Representations for Variable Length Human Motion Generation action2motion INR generative	2022-03
	MotionCLIP: Exposing Human Motion Generation to CLIP Space text2motion motion manifold open-vocabulary AE deterministic	2022-03
	NSM: Neural State Machine for Character-Scene Interactions motion control interaction2motion autoregressive phased transition MoEs deterministic	2019-11
	Deep Motifs and Motion Signatures motion representation clustering constrastive learning TF-IDF bag of words deterministic	2018-12
	DPMSA: Motion Synthesis from Annotations temporal motion composition action2motion SVM dynamic programming reproductive	2003-07
Neurobiological Motion Synthesis	Neural Algorithms and Circuits for Motor Planning motor planning memory neural dynamics neural circuits attractor hypothesis ALM mice	2022-03
Motion Forecast	Contact-aware Human Motion Forecasting scene-aware contact points contact forecast DCT GRU	2022-10
Small Data	A Survey of Learning on Small Data - Generalization, Optimization, and Challenge few shot learning active learning meta learning PAC geometric interpretation model-agnostic	2022-07
Small Data	PUIW: Instance Selection and Instance Weighting for Cross-Domain Sentiment Classification via PU Learning transfer learning domain adaptation instance weighting PU learning model-agnostic	2013-08