TechcraftingAI Computer Vision

ArXiv Computer Vision research for Thursday, June 13, 2024.

00:21: LRM-Zero: Training Large Reconstruction Models with Synthesized Data

01:56: Scale-Invariant Monocular Depth Estimation via SSI Depth

03:08: GGHead: Fast and Generalizable 3D Gaussian Heads

04:55: Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset

06:34: Towards Vision-Language Geo-Foundation Model: A Survey

08:11: SimGen: Simulator-conditioned Driving Scene Generation

09:44: Exploring the Spectrum of Visio-Linguistic Compositionality and Recognition

11:03: Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Prior

12:32: LLAVIDAL: Benchmarking Large Language Vision Models for Daily Activities of Living

13:56: WonderWorld: Interactive 3D Scene Generation from a Single Image

15:21: Modeling Ambient Scene Dynamics for Free-view Synthesis

16:29: Too Many Frames, not all Useful:Efficient Strategies for Long-Form Video QA

17:50: Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms

19:39: Real-Time Deepfake Detection in the Real-World

21:17: OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation

23:02: Yo'LLaVA: Your Personalized Language and Vision Assistant

24:30: MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations

26:26: Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion

28:03: Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models

29:59: ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing

31:24: 4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities

33:16: Towards Evaluating the Robustness of Visual State Space Models

34:57: Data Attribution for Text-to-Image Models by Unlearning Synthesized Images

36:09: CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras

37:37: Scene Graph Generation in Large-Size VHR Satellite Imagery: A Large-Scale Dataset and A Context-Aware Approach

40:02: MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding

41:40: Explore the Limits of Omni-modal Pretraining at Scale

42:46: Interpreting the Weight Space of Customized Diffusion Models

43:58: Depth Anything V2

45:12: An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

46:23: Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models

48:11: Rethinking Score Distillation as a Bridge Between Image Distributions

49:44: VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding

ArXiv Computer Vision research for Thursday, June 13, 2024.

00:21: INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance

02:11: Large-Scale Evaluation of Open-Set Image Classification Techniques

03:43: PC-LoRA: Low-Rank Adaptation for Progressive Model Compression with Knowledge Distillation

05:00: MMRel: A Relation Understanding Dataset and Benchmark in the MLLM Era

06:41: Auto-Vocabulary Segmentation for LiDAR Points

07:30: AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring

08:43: EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts

10:23: Fine-Grained Domain Generalization with Feature Structuralization

12:03: SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution

14:13: ReMI: A Dataset for Reasoning with Multiple Images

15:41: A Large-scale Universal Evaluation Benchmark For Face Forgery Detection

17:26: Thoracic Surgery Video Analysis for Surgical Phase Recognition

18:58: Reducing Task Discrepancy of Text Encoders for Zero-Shot Composed Image Retrieval

20:40: Adaptive Slot Attention: Object Discovery with Dynamic Slot Number

22:26: CLIP-Driven Cloth-Agnostic Feature Learning for Cloth-Changing Person Re-Identification

24:22: Enhanced Object Detection: A Study on Vast Vocabulary Object Detection Track for V3Det Challenge 2024

25:21: Optimizing Visual Question Answering Models for Driving: Bridging the Gap Between Human and Machine Attention Patterns

26:30: WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals

27:44: MGRQ: Post-Training Quantization For Vision Transformer With Mixed Granularity Reconstruction

29:28: Comparison Visual Instruction Tuning

30:51: MirrorCheck: Efficient Adversarial Defense for Vision-Language Models

32:14: Deep Transformer Network for Monocular Pose Estimation of Ship-Based UAV

33:10: Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos

34:33: Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models

36:04: StableMaterials: Enhancing Diversity in Material Generation via Semi-Supervised Learning

37:30: Parameter-Efficient Active Learning for Foundational models

38:31: Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation

40:22: Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases

42:38: Towards AI Lesion Tracking in PET/CT Imaging: A Siamese-based CNN Pipeline applied on PSMA PET/CT Scans

44:36: Memory-Efficient Sparse Pyramid Attention Networks for Whole Slide Image Analysis

46:19: Instance-level quantitative saliency in multiple sclerosis lesion segmentation

48:37: CMC-Bench: Towards a New Paradigm of Visual Signal Compression

50:05: Needle In A Video Haystack: A Scalable Synthetic Framework for Benchmarking Video MLLMs

52:05: CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models

ArXiv Computer Vision research for Thursday, June 13, 2024.

00:21: FouRA: Fourier Low Rank Adaptation

01:41: Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation

03:18: Few-Shot Anomaly Detection via Category-Agnostic Registration Learning

04:57: Skim then Focus: Integrating Contextual and Fine-grained Views for Repetitive Action Counting

06:46: ToSA: Token Selective Attention for Efficient Vision Transformers

08:00: Computer vision-based model for detecting turning lane features on Florida's public roadways

09:08: Improving Adversarial Robustness via Feature Pattern Consistency Constraint

10:52: Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Network

12:10: NeRF Director: Revisiting View Selection in Neural Volume Rendering

13:36: Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency

15:03: Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability,Reproducibility, and Practicality

16:40: COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing

18:16: Fusion of regional and sparse attention in Vision Transformers

19:26: Zoom and Shift are All You Need

20:17: EgoExo-Fitness: Towards Egocentric and Exocentric Full-Body Action Understanding

21:49: The Penalized Inverse Probability Measure for Conformal Classification

23:24: OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction

24:47: Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo Simulation

26:30: Computer Vision Approaches for Automated Bee Counting Application

27:17: Dual Attribute-Spatial Relation Alignment for 3D Visual Grounding

28:16: A Label-Free and Non-Monotonic Metric for Evaluating Denoising in Event Cameras

29:43: Multiple Prior Representation Learning for Self-Supervised Monocular Depth Estimation via Hybrid Transformer

31:25: Neural NeRF Compression

32:29: Preserving Identity with Variational Score for General-purpose 3D Editing

33:50: AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings

34:51: Adaptive Temporal Motion Guided Graph Convolution Network for Micro-expression Recognition

36:10: Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation

37:34: AMSA-UNet: An Asymmetric Multiple Scales U-net Based on Self-attention for Deblurring

38:49: Cross-Modal Learning for Anomaly Detection in Fused Magnesium Smelting Process: Methodology and Benchmark

40:45: A PCA based Keypoint Tracking Approach to Automated Facial Expressions Encoding

42:02: Steganalysis on Digital Watermarking: Is Your Defense Truly Impervious?

43:28: FacEnhance: Facial Expression Enhancing with Recurrent DDPMs

45:11: How structured are the representations in transformer-based vision encoders? An analysis of multi-object representations in vision-language models

47:08: Suitability of KANs for Computer Vision: A preliminary investigation