Yixiao Ge
Computer Vision and Pattern Recognition · 2018–2024
A researcher in the Science corpus: 16 papers; trusts 1,531 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 651 citations into it; #12,010 of 21,575 by trust here, #4,525 by citations
- Artificial Intelligence — 436 citations into it; #27,409 of 35,345 by trust here, #7,112 by citations
- Multimodal Learning — 255 citations into it
- Representation & Self-Supervised Learning — 112 citations into it
- Model Architectures — 74 citations into it
- Evaluation & Benchmarks — 69 citations into it
- Large Language Models — 67 citations into it
- Generative Models — 58 citations into it
Whom Yixiao Ge trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
- Christian Szegedy
Who trusts Yixiao Ge overall
- Zuozhuo Dai
- Shixiang Tang
- Dapeng Chen
- Guangyuan Wang
- Manyuan Zhang
- Yi Wang
- Jinguo Zhu
- Guojun Yin
- Jiaxu Miao
- R. Liu
Papers from Yixiao Ge's perspective
Ordered by how strongly the researchers Yixiao Ge trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation (2022) — 1,179 citations
- All in One: Exploring Unified Video-Language Pre-Training (2022) — 254 citations
- Object-aware Video-language Pre-training for Retrieval (2021) — 90 citations
- GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction (2023) — 329 citations
- Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID (2020) — 670 citations
- FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification (2018) — 363 citations
- SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension (2023) — 964 citations
- Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification (2020) — 663 citations
- Mutual CRF-GNN for Few-shot Learning (2021) — 60 citations
- Video-Text Pre-training with Learned Regions (2021) — 30 citations
- YOLO-World: Real-Time Open-Vocabulary Object Detection (2024) — 985 citations
- SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation (2024) — 339 citations
- UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition (2023) — 311 citations
- Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models (2023) — 316 citations
- BridgeFormer: Bridging Video-text Retrieval with Multiple Choice Questions (2022) — 28 citations
- MILES: Visual BERT Pre-training with Injected Language Semantics for Video-text Retrieval (2022) — 50 citations