← Authors

Yongming Rao

49 papers · 2017–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (9) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (87) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (42) πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion πŸ”¬ Deep Specialist (12) πŸ—ƒοΈ Keyword Collector (219) ❓ The Questioner ⚑ Prolific Year (7) πŸ’Ž Century Club (49) πŸ”₯ Unstoppable (10)

Conferences

CVPR (20) ICCV (12) NIPS (6) ECCV (5) ICLR (2) AAAI (1) CORL (1) ICML (1) WACV (1)

Top co-authors

Jiwen Lu (42) Jie Zhou (38) Wenliang Zhao (10) Guangyi Chen (7) Xumin Yu (7) Benlin Liu (7) Zuyan Liu (7) Ziyi Wang (6) Yi Wei (6) Yansong Tang (5)

Keywords

point cloud (8) semantic segmentation (5) diffusion model (5) video understanding (4) contrastive learning (4) vision transformer (3) depth estimation (3) multimodal learning (3) action recognition (3) object detection (3) 3d vision (2) representation learning (2) 3d object detection (2) reinforcement learning (2) domain adaptation (2) 3d reconstruction (2) image generation (2) attention mechanism (2) image restoration (2) knowledge distillation (2)

Papers

BREEN: Bridge Data-Efficient Encoder-Free Multimodal Learning with Learnable Queries WACV 2026
Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution ICLR 2025
RBench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation ICML 2025
SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs ICCV 2025
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models CVPR 2025
Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model CVPR 2025
X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition CVPR 2024
Generative Multimodal Models are In-Context Learners CVPR 2024
Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D Prior CVPR 2024
Efficient Inference of Vision Instruction-Following Models with Elastic Cache ECCV 2024
Unleashing Text-to-Image Diffusion Models for Visual Perception ICCV 2023
TCOVIS: Temporally Consistent Online Video Instance Segmentation ICCV 2023
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models ICCV 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models NIPS 2023
FLAG3D: A 3D Fitness Activity Dataset With Language Instruction CVPR 2023
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models ICLR 2023
DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion CVPR 2023
AMixer: Adaptive Weight Mixing for Self-Attention Free Vision Transformers ECCV 2022
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions NIPS 2022
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting NIPS 2022
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation CORL 2022
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion CVPR 2022
FineDiving: A Fine-Grained Dataset for Procedure-Aware Action Quality Assessment CVPR 2022
Back to Reality: Weakly-Supervised 3D Object Detection With Shape-Guided Label Enhancement CVPR 2022
Point-BERT: Pre-Training 3D Point Cloud Transformers With Masked Point Modeling CVPR 2022
DenseCLIP: Language-Guided Dense Prediction With Context-Aware Prompting CVPR 2022
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation CVPR 2022
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection ECCV 2022
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds CVPR 2021
Global Filter Networks for Image Classification NIPS 2021
Group-Aware Contrastive Regression for Action Quality Assessment ICCV 2021
PoinTr: Diverse Point Cloud Completion With Geometry-Aware Transformers ICCV 2021
RandomRooms: Unsupervised Pre-Training From Synthetic Shapes and Randomized Layouts for 3D Object Detection ICCV 2021
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo ICCV 2021
Towards Interpretable Deep Metric Learning With Structural Matching ICCV 2021
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-Identification ICCV 2021
Multi-Proxy Wasserstein Classifier for Image Classification AAAI 2021
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification NIPS 2021
Structure-Preserving Super Resolution With Gradient Guidance CVPR 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds CVPR 2020
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation ECCV 2020
Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation CVPR 2020
Temporal Coherence or Temporal Motion: Which is More Critical for Video-based Person Re-identification? ECCV 2020
COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis CVPR 2019
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition CVPR 2019
Learning Globally Optimized Object Detector via Policy Gradient CVPR 2018
Attention-Aware Deep Reinforcement Learning for Video Face Recognition ICCV 2017
Runtime Neural Pruning NIPS 2017
Learning Discriminative Aggregation Network for Video-Based Face Recognition ICCV 2017