Xinlong Wang
43 papers · 2018–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Computer Vision
(27)
Machine Learning
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Deep Learning
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Analysis
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Artificial Intelligence
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Learning Types Β· Deep Learning
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Core AI
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semantic segmentation
(8)
instance segmentation
(8)
multimodal learning
(7)
object detection
(7)
in-context learning
(6)
self-supervised learning
(5)
image generation
(4)
knowledge distillation
(4)
few-shot learning
(4)
vision-language model
(4)
image segmentation
(4)
zero-shot learning
(3)
vision transformer
(3)
mask prediction
(3)
instruction tuning
(3)
foundation model
(3)
large language model
(3)
object localization
(2)
representation learning
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image captioning
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Papers
Audio-sync Video Instance Editing with Granularity-Aware Mask Refiner
CVPR 2026
CI-VID: A Coherent Interleaved Text-Video Dataset
CVPR 2026
OmniGen2: Towards Instruction-Aligned Multimodal Generation
CVPR 2026
Autoregressive Video Generation without Vector Quantization
ICLR 2025
Diffusion Feedback Helps CLIP See Better
ICLR 2025
EVEv2: Improved Baselines for Encoder-Free Vision-Language Models
ICCV 2025
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
ICLR 2025
You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale
CVPR 2025
A Simple Image Segmentation Framework via In-Context Examples
NeurIPS 2024
Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions
ACL 2024
CapsFusion: Rethinking Image-Text Data at Scale
CVPR 2024
DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
NeurIPS 2024
Emu: Generative Pretraining in Multimodality
ICLR 2024
Generative Multimodal Models are In-Context Learners
CVPR 2024
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
ICLR 2024
Region-Native Visual Tokenization
ECCV 2024
Tokenize Anything via Prompting
ECCV 2024
Uni3D: Exploring Unified 3D Representation at Scale
ICLR 2024
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
NeurIPS 2024
Unveiling Encoder-Free Vision-Language Models
NeurIPS 2024
Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation
CVPR 2024
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
ICML 2024
Affective Image Filter: Reflecting Emotions from Text to Images
ICCV 2023
Conditional Positional Encodings for Vision Transformers
ICLR 2023
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
CVPR 2023
Fine-Grained Visual Prompting
NeurIPS 2023
Images Speak in Images: A Generalist Painter for In-Context Visual Learning
CVPR 2023
Point-Teaching: Weakly Semi-supervised Object Detection with Point Annotations
AAAI 2023
SegGPT: Towards Segmenting Everything in Context
ICCV 2023
Towards Better Entity Linking with Multi-View Enhanced Distillation
ACL 2023
FreeSOLO: Learning To Segment Objects Without Annotations
CVPR 2022
Poseur: Direct Human Pose Regression with Transformers
ECCV 2022
BoxInst: High-Performance Instance Segmentation With Box Annotations
CVPR 2021
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
CVPR 2021
Diverse Knowledge Distillation for End-to-End Person Search
AAAI 2021
End-to-End Video Instance Segmentation With Transformers
CVPR 2021
FCPose: Fully Convolutional Multi-Person Pose Estimation With Dynamic Instance-Aware Convolutions
CVPR 2021
Instance-Aware Embedding for Point Cloud Instance Segmentation
ECCV 2020
SOLO: Segmenting Objects by Locations
ECCV 2020
SOLOv2: Dynamic and Fast Instance Segmentation
NeurIPS 2020
Task-Aware Monocular Depth Estimation for 3D Object Detection
AAAI 2020
Associatively Segmenting Instances and Semantics in Point Clouds
CVPR 2019
Repulsion Loss: Detecting Pedestrians in a Crowd
CVPR 2018