Simon See
36 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
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Taxonomy Completionist
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π§
Keyword Pioneer
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Topic Evolution
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Prolific Year
(8)
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Century Club
(34)
ποΈ
Keyword Collector
(180)
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Unstoppable
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Conferences
ACL (7)
CVPR (6)
AAAI (5)
EMNLP (5)
ICCV (4)
NIPS (3)
ECCV (2)
AACL (1)
ICLR (1)
IJCNLP (1)
JMLR (1)
Top co-authors
Research topics
Keywords
multimodal learning
(3)
convolutional neural network
(3)
large language model
(3)
copyright protection
(3)
semantic segmentation
(3)
transformer architecture
(2)
optical flow
(2)
optical flow estimation
(2)
attention mechanism
(2)
autonomous driving
(2)
multi-modal learning
(2)
adversarial learning
(1)
multi-agent reinforcement learning
(1)
multi-task learning
(1)
zero-shot learning
(1)
causal inference
(1)
catastrophic forgetting
(1)
feature extraction
(1)
continual learning
(1)
sequence generation
(1)
Papers
IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning
ACL 2026
XToM: Exploring the Multilingual Theory of Mind for Large Language Models
ACL 2026
Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers
AAAI 2025
Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization
AAAI 2025
LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning
EMNLP 2025
M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving
AAAI 2025
Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation
CVPR 2024
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
NIPS 2024
Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images
NIPS 2024
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation
ACL 2024
GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting
NIPS 2024
AHIVE: Anatomy-aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval
CVPR 2024
GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields
ECCV 2024
Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model
ECCV 2024
Logical Message Passing Networks with One-hop Inference on Atomic Formulas
ICLR 2023
Continual Semantic Segmentation With Automatic Memory Sample Selection
CVPR 2023
A Simple Baseline for Video Restoration With Grouped Spatial-Temporal Shift
CVPR 2023
FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation
CVPR 2023
Self-Consistent Narrative Prompts on Abductive Natural Language Inference
IJCNLP 2023
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
JMLR 2023
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension
AAAI 2023
CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields
ICCV 2023
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective
ACL 2023
DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition
ACL 2023
NewsMet : A βdo it allβ Dataset of Contemporary Metaphors in News Headlines
ACL 2023
Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport
ACL 2023
TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining
EMNLP 2023
Self-Consistent Narrative Prompts on Abductive Natural Language Inference
AACL 2023
TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses
ICCV 2023
Learning Gabor Texture Features for Fine-Grained Recognition
ICCV 2023
VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation
ICCV 2023
SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller
EMNLP 2022
Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform
EMNLP 2022
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population
EMNLP 2022
ACT: an Attentive Convolutional Transformer for Efficient Text Classification
AAAI 2021
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
CVPR 2018