Yi Jiang
40 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (9)
πΊοΈ
Taxonomy Completionist
(12)
π§
Keyword Pioneer
π
Academic Marathon
(6)
π
Grand Slam
π€
Dynamic Duo
(25)
π₯
Mega-Team
(22)
π₯
Unstoppable
(7)
β
The Questioner
β‘
Prolific Year
(8)
ποΈ
Keyword Collector
(164)
π
Century Club
(35)
Conferences
CVPR (11)
ECCV (6)
NIPS (6)
AAAI (5)
ICCV (4)
ACL (3)
ICLR (3)
ICML (1)
JMLR (1)
Top co-authors
Keywords
object detection
(8)
image generation
(5)
instance segmentation
(5)
diffusion model
(4)
semantic segmentation
(4)
zero-shot learning
(3)
contrastive learning
(3)
transformer architecture
(3)
vision-language model
(3)
object tracking
(3)
visual generation
(3)
region proposal
(3)
transfer learning
(2)
text-to-video generation
(2)
retrieval-augmented generation
(2)
flow matching
(2)
autoregressive model
(2)
text-to-image generation
(2)
knowledge distillation
(2)
video generation
(2)
Papers
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
AAAI 2026
Multi-Level Blur-Aware Stable Diffusion for Region-Adaptive Defocus Deblurring
AAAI 2026
Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy
ACL 2026
Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-Play
ACL 2026
Unveiling the Attribute Misbinding Threat in Identity-Preserving Models
AAAI 2026
TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation
CVPR 2025
Enhancing Adversarial Transferability with Adversarial Weight Tuning
AAAI 2025
SA-Occ: Satellite-Assisted 3D Occupancy Prediction in Real World
ICCV 2025
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis
ACL 2025
Goku: Flow Based Video Generative Foundation Models
CVPR 2025
Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
CVPR 2025
General Object Foundation Model for Images and Videos at Scale
CVPR 2024
Efficiency for Free: Ideal Data Are Transportable Representations
NIPS 2024
Generative Region-Language Pretraining for Open-Ended Object Detection
CVPR 2024
OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation
NIPS 2024
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
ECCV 2024
Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
AAAI 2024
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
NIPS 2024
Recognize Any Regions
NIPS 2024
EGC: Image Generation and Classification via a Diffusion Energy-Based Model
ICCV 2023
Exploring Transformers for Open-world Instance Segmentation
ICCV 2023
Learning Object-Language Alignments for Open-Vocabulary Object Detection
ICLR 2023
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
ICLR 2023
CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
NIPS 2023
InstMove: Instance Motion for Object-Centric Video Segmentation
CVPR 2023
Universal Instance Perception As Object Discovery and Retrieval
CVPR 2023
Segment Every Reference Object in Spatial and Temporal Spaces
ICCV 2023
Towards Grand Unification of Object Tracking
ECCV 2022
Language As Queries for Referring Video Object Segmentation
CVPR 2022
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion
CVPR 2022
Rethinking Resolution in the Context of Efficient Video Recognition
NIPS 2022
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
ECCV 2022
SeqFormer: Sequential Transformer for Video Instance Segmentation
ECCV 2022
In Defense of Online Models for Video Instance Segmentation
ECCV 2022
Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation
ECCV 2022
Objects in Semantic Topology
ICLR 2022
What Makes for End-to-End Object Detection?
ICML 2021
Sparse R-CNN: End-to-End Object Detection With Learnable Proposals
CVPR 2021
Learning to Segment the Tail
CVPR 2020
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition
JMLR 2019