SW
Shengqiong Wu
University of Oxford
First author
Expertisemultimodal foundation modelsmultimodal agentscross-modal modeling and reasoningphysics-grounded vision generationspatial intelligence
Writing contributions 19
- Part I, Introduction and Background, Chapters 1–3 (with Hao Fei)
- Audio, Section 4.5
- Object Tracking, Section 6.4.2
- Physical Reasoning, Section 7.1.2
- Differentiable Optimization Layers for Spatial Reasoning, Section 7.2.4
- Reinforcement Learning with Spatial Inductive Biases, Section 7.2.5
- Hybrid Spatial Reasoning, Section 7.4
- Spatial Reasoning Benchmarks, Section 7.5
- 3D Object Synthesis, Section 8.2.1
- 3D Scene Reconstruction, Section 8.2.3
- 3D Scene Editing, Section 8.2.5
- Summary, Challenges, and Future Directions of Video Spatial Generation, Section 8.3.6
- Introduction to Motion Generation, Section 8.4
- Programmatic and Symbolic Spatial Generation, Section 8.7
- Summary and Outlook of Spatial Generation, Section 8.8
- Aerospace Engineering, Section 11.3
- Spatial Intelligence for Others, Chapter 14
- Part V, Discussions and Futures, Chapters 15–17
- Introductions to Parts II–IV, to Chapters 4 and 6–14, and to the sections of Chapters 6–8
YZ
Yu Zhao
National University of Singapore
Profile details coming soon.
Writing contributions 9
TJ
Tianjie Ju
National University of Singapore
ExpertiseMLLM agentsgeospatial reasoningworld modelingAI scientist
Writing contributions 3
JX
Jundong Xu
National University of Singapore
Expertisesymbolic reasoninglogic and reasoningneuro-symbolic frameworks
Writing contributions 6
BL
Bobo Li
National University of Singapore
Expertiselarge language modelslanguage agentscognitive intelligence
Writing contributions 5
JY
Jingkang Yang
Nanyang Technological University
Expertiselarge multimodal modelsworld modelsegocentric datascene understandingAI safetyout-of-distribution detection
Writing contributions 5
ST
Shulin Tian
Nanyang Technological University
Expertisemultimodal agentsvisual reasoninglong-horizon multimodal understandingtool-augmented reasoning
Writing contributions 5
DZ
Daoan Zhang
University of Rochester
Expertisegenerative modelsmultimodal agentsAI for science
Writing contributions 4
YZ
Yanguang Zhao
National University of Singapore
Profile details coming soon.
Writing contributions 3
XJ
Xuan Ju
The Chinese University of Hong Kong
Expertisemultimodal learningimage generationvideo generation
Writing contributions 5
HZ
Haoyu Zhao
The Chinese University of Hong Kong
Expertiseembodied intelligencesimulated data generation3D simulation3D visionAI for medical imaging
Writing contributions 2
YZ
Yuchen Zhou
National University of Singapore
Expertisemultimodal physical-world perception and interactionvision-language modelsembodied foundation modelshuman-robot interaction
Writing contributions 5
XL
Xiangtai Li
Nanyang Technological University
Expertisecomputer visionmulti-modal learninglarge language modelsAIGC
Writing contributions 3
ZZ
Zhedong Zheng
University of Macau
Expertisedata-centric AIAIGC and synthetic datauncertainty estimationspatial intelligenceobject re-identificationdomain adaptation
Writing contributions 1
JH
Joy Hsu
Stanford University
Expertisemultimodal reasoning modelsagentic systemsgeneralization across domainslong-horizon tasks
Writing contributions 2
XK
Xin Kong
Imperial College London
Expertiseworld modelsphysical AIrobotics
Writing contributions 3
RL
Ruining Li
University of Oxford
Expertiseworld modellinggenerative simulationphysically-grounded video and 3D generative modelsembodied AI
Writing contributions 2
CZ
Cheng Zhang
Monash University
Expertise3D generationnovel view synthesisimage generation
Writing contributions 1
CL
Chengzu Li
University of Cambridge
Expertisevisual intelligencespatial reasoningmultimodal LLMsvideo generation modelsmultimodal agents
Writing contributions 5
JD
Jiafei Duan
National University of Singapore
Expertiserobot learningembodied AIrobotics foundation models
Writing contributions 1
YZ
Yu (Bryan) Zhou
University of California, Los Angeles
Expertisemultimodal learningvision and languageembodied learning
Writing contributions 1
KL
Kenneth Li
Harvard University
Writing contributions 1
CZ
Chuanxia Zheng
Nanyang Technological University
Expertisephysical AIspatial AIgenerative AIperceiving, reconstructing and simulating the physical world
Writing contributions 1
LC
Lei Cui
Microsoft Research
Reviewing & advisory
Expertisefoundation modelsmultimodal AI
Reviewed the manuscript and provided comments and feedback that shaped the direction of the handbook.
FW
Furu Wei
Microsoft Research
Reviewing & advisory
Expertiselarge foundation modelsgeneral AInatural language processingspeechmultimodal AI
Reviewed the manuscript and provided comments and feedback that shaped the direction of the handbook.
ZL
Ziwei Liu
Nanyang Technological University
Reviewing & advisory
Expertisecomputer visionmachine learningcomputer graphics
Reviewed the manuscript and provided comments and feedback that shaped the direction of the handbook.
SF
Steven K. Feiner
Columbia University
Reviewing & advisory
Expertisehuman-computer interactionaugmented and virtual reality3D and 2D user interfacesautomated design of graphics and multimediamobile and wearable computinginformation visualization
Reviewed the manuscript and provided comments and feedback that shaped the direction of the handbook.
JL
Jiebo Luo
University of Rochester
Reviewing & advisory
Expertisecomputer visionmachine learningdata miningsocial mediacomputational social sciencedigital health
Reviewed the manuscript and provided comments and feedback that shaped the direction of the handbook.
JC
Jianfei Cai
Monash University
Reviewing & advisory
Expertisevisual computingcomputer visionmultimedia
Reviewed the manuscript and provided comments and feedback that shaped the direction of the handbook.
SY
Shuicheng Yan
National University of Singapore
Reviewing & advisory
Expertisee-AGI (efficient, executive, evolving)computer visionmachine learning
Reviewed the manuscript and provided comments and feedback that shaped the direction of the handbook.
MY
Ming-Hsuan Yang
University of California, Merced
Reviewing & advisory
Expertisecomputer visionpattern recognitionartificial intelligenceroboticsmachine learning
Reviewed the manuscript and provided comments and feedback that shaped the direction of the handbook.
HF
Hao Fei
University of Oxford
Project lead
Expertisenatural language processingcomputer visionmultimodal / vision-language learning
Writing contributions 11
- Part I, Introduction and Background, Chapters 1–3 (with Shengqiong Wu)
- Scene Classification, Section 6.1.4 (with Chengzu Li)
- Pose Estimation, Section 6.2.5
- Implicit Neural Spatial Reasoning, Section 7.2.1 (with Chengzu Li)
- Explicit Structured Neural Reasoning, Section 7.2.2 (with Chengzu Li)
- Geometry-aware Neural Spatial Reasoning, Section 7.2.3 (with Chengzu Li)
- Code/DSL Generation for Spatial Reasoning, Section 7.3.4 (with Chengzu Li)
- World-Model-based Spatial Reasoning, Section 7.3.8 (with Ruining Li)
- World Modeling, Section 8.6
- Wearable AI System, Section 9.3
- Figures: drew part of the handbook's illustrations, most notably the teaser figure