← Authors

Cihang Xie

58 papers · 2017–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (9) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (79) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🧬 Topic Evolution πŸ† Keyword Champion (2) 🀝 Dynamic Duo (23) πŸ‘‘ Triple Crown πŸ† Grand Slam ❓ The Questioner (5) πŸ—ƒοΈ Keyword Collector (185) ⚑ Prolific Year (8) πŸ”₯ Unstoppable (10) πŸš€ Conference Pioneer πŸ’Ž Century Club (57) πŸ“ˆ Trend Setter

Conferences

CVPR (17) ICLR (11) ECCV (7) ICCV (7) NIPS (6) AAAI (3) ICML (3) EACL (1) EMNLP (1) NAACL (1) WACV (1)

Top co-authors

Alan Yuille (23) Yuyin Zhou (20) Jieru Mei (12) Xianhang Li (11) Alan L. Yuille (9) Zeyu Wang (8) Haoqin Tu (8) Sucheng Ren (7) Huiyu Wang (6) Zhishuai Zhang (6)

Keywords

adversarial attack (6) vision transformer (6) image classification (5) adversarial example (5) multimodal learning (5) convolutional neural network (4) adversarial robustness (4) representation learning (4) black-box attack (3) adversarial training (3) foundation model (3) object detection (3) visual representation (3) masked autoencoder (3) state space model (2) efficient computing (2) diffusion model (2) contrastive learning (2) feature extraction (2) model compression (2)

Papers

LVM-Lite: Training Large Vision Models with Efficient Sequential Modeling WACV 2026
STAR-1: Safer Alignment of Reasoning LLMs with 1K Data AAAI 2026
Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency CVPR 2025
Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More ICML 2025
What If We Recaption Billions of Web Images with LLaMA-3? ICML 2025
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine ICLR 2025
Autoregressive Pretraining with Mamba in Vision ICLR 2025
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing ICLR 2025
OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning ICCV 2025
VideoLLaMB: Long Streaming Video Understanding with Recurrent Memory Bridges ICCV 2025
ViLBench: A Suite for Vision-Language Process Reward Modeling EMNLP 2025
Mamba-Reg: Vision Mamba Also Needs Registers CVPR 2025
Generative Image Layer Decomposition with Visual Effects CVPR 2025
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training CVPR 2024
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning ICLR 2024
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties ECCV 2024
Scaling White-Box Transformers for Vision NIPS 2024
VHELM: A Holistic Evaluation of Vision Language Models NIPS 2024
Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning NAACL 2024
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs ECCV 2024
Revisiting Adversarial Training at Scale CVPR 2024
L2B: Learning to Bootstrap Robust Models for Combating Label Noise CVPR 2024
Rejuvenating image-GPT as Strong Visual Representation Learners ICML 2024
Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models EACL 2024
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation ECCV 2024
Diffusion Models as Masked Autoencoders ICCV 2023
An Inverse Scaling Law for CLIP Training NIPS 2023
Practical Disruption of Image Translation Deepfake Networks AAAI 2023
Masked Autoencoders Enable Efficient Knowledge Distillers CVPR 2023
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-Training ICCV 2023
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation ICCV 2023
Can CNNs Be More Robust Than Transformers? ICLR 2023
One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks ICLR 2023
Simulated Adversarial Testing of Face Recognition Models CVPR 2022
A Simple Data Mixing Prior for Improving Self-Supervised Learning CVPR 2022
Fast AdvProp ICLR 2022
Image BERT Pre-training with Online Tokenizer ICLR 2022
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks NIPS 2022
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing NIPS 2022
In Defense of Image Pre-training for Spatiotemporal Recognition ECCV 2022
VIP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers ECCV 2022
Robust and Accurate Object Detection via Adversarial Learning CVPR 2021
Are Transformers more robust than CNNs? NIPS 2021
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images ICCV 2021
Shape-Texture Debiased Neural Network Training ICLR 2021
Neural Architecture Search for Lightweight Non-Local Networks CVPR 2020
Adversarial Examples Improve Image Recognition CVPR 2020
Universal Physical Camouflage Attacks on Object Detectors CVPR 2020
Intriguing Properties of Adversarial Training at Scale ICLR 2020
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning ECCV 2020
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses ECCV 2020
Learning Transferable Adversarial Examples via Ghost Networks AAAI 2020
Feature Denoising for Improving Adversarial Robustness CVPR 2019
Improving Transferability of Adversarial Examples With Input Diversity CVPR 2019
Mitigating Adversarial Effects Through Randomization ICLR 2018
Single-Shot Object Detection With Enriched Semantics CVPR 2018
DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion CVPR 2018
Adversarial Examples for Semantic Segmentation and Object Detection ICCV 2017