3 citations · 4 across the 13 of their papers we have counts for
16 papers
Stuck on Shuffle: On Attribute-Object Binding in Vision-Language Models
Netanel Y. Tamir, Michael Green, Issar Tzachor +4
Retrieval is a fundamental task in multimodal systems: given an image or text query, the goal is to find the most relevant images or texts in a collection, often using a shared emb…
PixReenact: Pixel-Conditioned Causal Video Diffusion for Streaming Head-Avatar Reenactment
Gavriel Habib, Dvir Samuel, Or Shimshi +1
Streaming head-avatar reenactment aims to animate a reference image according to a live driving video, requiring robust motion transfer, long-term identity stability, and low laten…
WarpHammer: Densifying Scene Warps with 3D Object Priors for Extreme View Synthesis
Michael Green, Gavriel Habib, Dvir Samuel +4
Projection-conditioned novel view synthesis (NVS) warps an explicit 3D reconstruction of the input view into the target camera and conditions a generator on the warped rendering. T…
VidMsg: A Benchmark for Implicit Message Inference in Short Videos
Issar Tzachor, Michael Green, Rami Ben-Ari
Understanding short online videos involves more than identifying visible objects and actions; video makers often include an underlying message or purpose in the clip. We introduce…
Retrieval-Augmented Gaussian Avatars: Improving Expression Generalization
Matan Levy, Gavriel Habib, Issar Tzachor +5
Template-free animatable head avatars can achieve high visual fidelity by learning expression-dependent facial deformation directly from a subject's capture, avoiding parametric fa…
VidVec: Unlocking Video MLLM Embeddings for Video-Text Retrieval
Issar Tzachor, Dvir Samuel, Rami Ben-Ari
Recent studies have adapted generative Multimodal Large Language Models (MLLMs) into embedding extractors for vision tasks, typically through fine-tuning to produce universal repre…
Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and Sparse Attention
Dvir Samuel, Issar Tzachor, Matan Levy +3
Autoregressive video diffusion models enable streaming generation, opening the door to long-form synthesis, video world models, and interactive neural game engines. However, their…
OmnimatteZero: Fast Training-free Omnimatte with Pre-trained Video Diffusion Models
Dvir Samuel, Matan Levy, Nir Darshan +2
In Omnimatte, one aims to decompose a given video into semantically meaningful layers, including the background and individual objects along with their associated effects, such as…
Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization
Michael Green, Matan Levy, Issar Tzachor +3
We address the challenge of Small Object Image Retrieval (SoIR), where the goal is to retrieve images containing a specific small object, in a cluttered scene. The key challenge in…
CarGait: Cross-Attention based Re-ranking for Gait recognition
Gavriel Habib, Noa Barzilay, Or Shimshi +2
Gait recognition is a computer vision task that identifies individuals based on their walking patterns. Gait recognition performance is commonly evaluated by ranking a gallery of c…
Task-Specific Adaptation with Restricted Model Access
Matan Levy, Rami Ben-Ari, Dvir Samuel +2
The emergence of foundational models has greatly improved performance across various downstream tasks, with fine-tuning often yielding even better results. However, existing fine-t…
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval
Leah Bar, Boaz Lerner, Nir Darshan +1
Active Learning (AL) is a user-interactive approach aimed at reducing annotation costs by selecting the most crucial examples to label. Although AL has been extensively studied for…
EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition
Issar Tzachor, Boaz Lerner, Matan Levy +8
The task of Visual Place Recognition (VPR) is to predict the location of a query image from a database of geo-tagged images. Recent studies in VPR have highlighted the significant…
Where's Waldo: Diffusion Features for Personalized Segmentation and Retrieval
Dvir Samuel, Rami Ben-Ari, Matan Levy +2
Personalized retrieval and segmentation aim to locate specific instances within a dataset based on an input image and a short description of the reference instance. While supervise…
Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback
Boaz Lerner, Nir Darshan, Rami Ben-Ari
With such a massive growth in the number of images stored, efficient search in a database has become a crucial endeavor managed by image retrieval systems. Image Retrieval with Rel…
Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models
Dvir Samuel, Barak Meiri, Haggai Maron +5
Diffusion inversion is the problem of taking an image and a text prompt that describes it and finding a noise latent that would generate the exact same image. Most current determin…