Skip to content
conftrace_

Bin Chen

94 papers · 2008–2026 · 15 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 22 separate collaboration groups - the largest holds only 49% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Bin Chen?

11 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Shu-Tao Xia, Jinpeng Wang, Tao Dai 46 papers · 2020–2026 · AAAI, CVPR, ICCV Hide ▲
FreqSIC: Frequency-aware Stereo Image Compression with Bi-directional Checkerboard Context Model CVPR 2026 From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents ACL 2026 Imagine Before Concentration: Diffusion-Guided Registers Enhance Partially Relevant Video Retrieval CVPR 2026 Love Me, Love My Label: Rethinking the Role of Labels in Prompt Retrieval for Visual In-Context Learning CVPR 2026 MambaSIC: Mamba-based Stereo Image Compression with Bi-directional Multi-reference Entropy Model CVPR 2026 Retrievals Can Be Detrimental: Unveiling the Backdoor Vulnerability of Retrieval-Augmented Diffusion Models ACL 2026 Towards Efficient Low-rate Image Compression with Frequency-aware Diffusion Prior Refinement AAAI 2026 When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language Models ACL 2026 3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors ICML 2025 An Exploration with Entropy Constrained 3D Gaussians for 2D Video Compression ICLR 2025 AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing CVPR 2025 Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression ICCV 2025 DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement ICLR 2025 Efficient Self-Supervised Video Hashing with Selective State Spaces AAAI 2025 Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning CVPR 2025 Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning ICCV 2025 Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information ICLR 2025 Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation CVPR 2025 MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds EMNLP 2025 Modeling Uncertainty in Composed Image Retrieval via Probabilistic Embeddings ACL 2025 One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models ICCV 2025 PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter CVPR 2025 Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning IJCAI 2025 Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks ICLR 2025 Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors EMNLP 2025 A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks ECCV 2024 BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping NeurIPS 2024 CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks ECCV 2024 GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval AAAI 2024 GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process IJCAI 2024 Invertible Residual Rescaling Models IJCAI 2024 LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling NeurIPS 2024 Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts NeurIPS 2024 ReFIR: Grounding Large Restoration Models with Retrieval Augmentation NeurIPS 2024 Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders AAAI 2024 Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding AAAI 2024 Contrastive Masked Autoencoders for Self-Supervised Video Hashing AAAI 2023 FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks AAAI 2023 GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization ICCV 2023 Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models ICCV 2023 Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain AAAI 2023 Learning Transferable Spatiotemporal Representations From Natural Script Knowledge CVPR 2023 Contrastive Quantization with Code Memory for Unsupervised Image Retrieval AAAI 2022 Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval AAAI 2021 Adversarial Attack on Deep Product Quantization Network for Image Retrieval AAAI 2020 Targeted Attack for Deep Hashing based Retrieval ECCV 2020
11 papers whose co-authors appear nowhere else under this name