Yu Xiang
32 papers · 2015–2025 · 12 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (10) 🌍 Conference Polyglot (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14)
🌈
Renaissance Researcher
(8)
🌍
Conference Polyglot
(12)
🏃
Academic Marathon
(10)
🤝
Dynamic Duo
(14)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
📈
Trend Setter
🗃️
Keyword Collector
(139)
🚀
Conference Pioneer
⚡
Prolific Year
(7)
🔥
Unstoppable
(11)
💎
Century Club
(32)
Conferences
CVPR (8)
CORL (6)
RSS (6)
ECCV (3)
NIPS (2)
AAAI (1)
AISTATS (1)
CLEAR (1)
COLING (1)
ICCV (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
6d pose estimation
(5)
feature embedding
(4)
instance segmentation
(4)
convolutional neural network
(3)
object pose estimation
(3)
object detection
(3)
metric learning
(2)
poisson branching
(2)
unseen object
(2)
synthetic datum
(2)
recurrent neural network
(2)
structural causal model
(2)
deep learning
(2)
pose estimation
(2)
causal discovery
(2)
representation learning
(2)
multi-object tracking
(2)
anomaly detection
(1)
domain adaptation
(1)
robotic manipulation
(1)
Papers
V-HOP: Visuo-Haptic 6D Object Pose Tracking
RSS 2025
CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities
NIPS 2024
On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function
NIPS 2024
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
AAAI 2024
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification
AISTATS 2024
Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning
CLEAR 2024
STAF: Pushing the Boundaries of Test-Time Adaptation towards Practical Noise Scenarios
COLING 2024
Segment Every Out-of-Distribution Object
CVPR 2024
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction
RSS 2023
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences
IJCAI 2023
Few-Shot Single-View 3D Reconstruction with Memory Prior Contrastive Network
ECCV 2022
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information
ECCV 2022
NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands
CORL 2022
RGB-D Local Implicit Function for Depth Completion of Transparent Objects
CVPR 2021
Information Laundering for Model Privacy
ICLR 2021
RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks
CORL 2021
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
CORL 2021
DexYCB: A Benchmark for Capturing Hand Grasping of Objects
CVPR 2021
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation
CORL 2020
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
CVPR 2020
Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection
RSS 2020
PoseRBPF: A Rao-Blackwellized Particle Filter for6D Object Pose Estimation
RSS 2019
Object Discovery in Videos as Foreground Motion Clustering
CVPR 2019
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
CORL 2019
DeepIM: Deep Iterative Matching for 6D Pose Estimation
ECCV 2018
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
CORL 2018
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
RSS 2018
DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks
RSS 2017
Deep Metric Learning via Lifted Structured Feature Embedding
CVPR 2016
Learning to Track: Online Multi-Object Tracking by Decision Making
ICCV 2015
Data-Driven 3D Voxel Patterns for Object Category Recognition
CVPR 2015
A Coarse-to-Fine Model for 3D Pose Estimation and Sub-Category Recognition
CVPR 2015