Mingming Gong

Computer Vision and Pattern Recognition · 2014–2022

A researcher in the Science corpus: 20 papers; trusts 1,087 researchers and is trusted by 53 researchers here, as inferred from the citation graph.

Subfields

Computer Vision and Pattern Recognition — 317 citations into it; #4,851 of 21,575 by trust here, #3,166 by citations
Artificial Intelligence — 307 citations into it; #6,484 of 35,345 by trust here, #6,103 by citations
Representation & Self-Supervised Learning — 142 citations into it; #763 of 3,145 by trust here, #1,006 by citations
Signal Processing — 62 citations into it
Evaluation & Benchmarks — 58 citations into it
Generative Models — 47 citations into it
Causal Inference & Discovery — 46 citations into it; #99 of 364 by trust here, #81 by citations
Probabilistic & Bayesian Methods — 40 citations into it

Whom Mingming Gong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

Who trusts Mingming Gong overall

Papers from Mingming Gong's perspective

Ordered by how strongly the researchers Mingming Gong trusts endorse each paper. Same corpus, a different order for every researcher.

ImageNet classification with deep convolutional neural networks
Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Gradient-based learning applied to document recognition
Attention is All you Need (Neural Information Processing Systems)
Long Short-Term Memory
ImageNet: A large-scale hierarchical image database
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
ImageNet Large Scale Visual Recognition Challenge
Learning Multiple Layers of Features from Tiny Images

Their papers

Deep Ordinal Regression Network for Monocular Depth Estimation (2018) — 2,009 citations
Deep Domain Generalization via Conditional Invariant Adversarial Networks (2018) — 831 citations
3D-FUTURE: 3D Furniture Shape with TextURE (2020) — 417 citations
Domain Generalization via Conditional Invariant Representations (2018) — 305 citations
Multi-Source Domain Adaptation: A Causal View (2015) — 208 citations
Sub-center ArcFace: Boosting Face Recognition by Large-Scale Noisy Web Faces (2020) — 294 citations
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models (2019) — 75 citations
Transfer Learning with Label Noise (2017) — 32 citations
Causal Generative Domain Adaptation Networks (2018) — 22 citations
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components (2014) — 85 citations
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning (2022) — 21 citations
Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint (2022) — 24 citations
Domain Generalization via Entropy Regularization (2020) — 317 citations
LTF: A Label Transformation Framework for Correcting Label Shift (2020) — 43 citations
Part-dependent Label Noise: Towards Instance-dependent Label Noise (2020) — 313 citations
Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering (2019) — 28 citations
Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results (2018) — 27 citations
Causal Discovery from Temporally Aggregated Time Series (2017) — 65 citations
Domain Adaptation with Conditional Transferable Components (2016) — 374 citations
Discovering Temporal Causal Relations from Subsampled Data (2015) — 97 citations