2 citations · 2 across the 14 of their papers we have counts for
17 papers
SHAMS: An Audio-Grounded Pronunciation Benchmark for Levantine Arabic
Ben Sapirstein, Roy Mattar, Guy Mor-Lan +3
Levantine Arabic (LA) is spoken by tens of millions of people, creating a pressing need for shared benchmarks to evaluate LA speech-language technologies. Evaluating such technolog…
NAMESAKES: Probing Identity Memorization in Text-to-Image Models
Morris Alper, Vasudha Varadarajan, Moran Yanuka +2
Text-to-image (T2I) models generate realistic likenesses of some individuals when prompted with their names, raising privacy concerns. However, distinguishing whether a generated f…
ReNikud: Audio-Supervised Hebrew Grapheme-to-Phoneme Conversion
Maxim Melichov, Yakov Kolani, Morris Alper
Grapheme-to-phoneme (G2P) conversion for Modern Hebrew is needed for applications like text-to-speech (TTS), but is challenging due to the language's abjad writing system, which le…
CWoMP: Morpheme Representation Learning for Interlinear Glossing
Morris Alper, Enora Rice, Bhargav Shandilya +2
Interlinear glossed text (IGT) is a standard notation for language documentation which is linguistically rich but laborious to produce manually. Recent automated IGT methods treat…
ConlangCrafter: Constructing Languages with a Multi-Hop LLM Pipeline
Morris Alper, Moran Yanuka, Raja Giryes +1
Constructed languages (conlangs) such as Esperanto and Quenya have played diverse roles in art, philosophy, and international communication. Meanwhile, foundation models have revol…
WildCAT3D: Appearance-Aware Multi-View Diffusion in the Wild
Morris Alper, David Novotny, Filippos Kokkinos +2
Despite recent advances in sparse novel view synthesis (NVS) applied to object-centric scenes, scene-level NVS remains a challenge. A central issue is the lack of available clean m…
Phonikud: Overcoming Phonetic Underspecification for Hebrew Text-To-Speech
Yakov Kolani, Maxim Melichov, Cobi Calev +1
Text-to-speech (TTS) for Modern Hebrew is challenged by the language's orthographic complexity, with existing solutions ignoring underspecified phonetic features such as stress. We…
ProtoSnap: Prototype Alignment for Cuneiform Signs
Rachel Mikulinsky, Morris Alper, Shai Gordin +3
The cuneiform writing system served as the medium for transmitting knowledge in the ancient Near East for a period of over three thousand years. Cuneiform signs have a complex inte…
Dynamic Scene Understanding from Vision-Language Representations
Shahaf Pruss, Morris Alper, Hadar Averbuch-Elor
Images depicting complex, dynamic scenes are challenging to parse automatically, requiring both high-level comprehension of the overall situation and fine-grained identification of…
WAFFLE: Multimodal Floorplan Understanding in the Wild
Keren Ganon, Morris Alper, Rachel Mikulinsky +1
Buildings are a central feature of human culture and are increasingly being analyzed with computational methods. However, recent works on computational building understanding have…
Emergent Visual-Semantic Hierarchies in Image-Text Representations
Morris Alper, Hadar Averbuch-Elor
While recent vision-and-language models (VLMs) like CLIP are a powerful tool for analyzing text and images in a shared semantic space, they do not explicitly model the hierarchical…
HaLo-NeRF: Learning Geometry-Guided Semantics for Exploring Unconstrained Photo Collections
Chen Dudai, Morris Alper, Hana Bezalel +3
Internet image collections containing photos captured by crowds of photographers show promise for enabling digital exploration of large-scale tourist landmarks. However, prior work…
ICC: Quantifying Image Caption Concreteness for Multimodal Dataset Curation
Moran Yanuka, Morris Alper, Hadar Averbuch-Elor +1
Web-scale training on paired text-image data is becoming increasingly central to multimodal learning, but is challenged by the highly noisy nature of datasets in the wild. Standard…
Mitigating Open-Vocabulary Caption Hallucinations
Assaf Ben-Kish, Moran Yanuka, Morris Alper +2
While recent years have seen rapid progress in image-conditioned text generation, image captioning still suffers from the fundamental issue of hallucinations, namely, the generatio…
Kiki or Bouba? Sound Symbolism in Vision-and-Language Models
Morris Alper, Hadar Averbuch-Elor
Although the mapping between sound and meaning in human language is assumed to be largely arbitrary, research in cognitive science has shown that there are non-trivial correlations…
Learning Human-Human Interactions in Images from Weak Textual Supervision
Morris Alper, Hadar Averbuch-Elor
Interactions between humans are diverse and context-dependent, but previous works have treated them as categorical, disregarding the heavy tail of possible interactions. We propose…
Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding
Morris Alper, Michael Fiman, Hadar Averbuch-Elor
Most humans use visual imagination to understand and reason about language, but models such as BERT reason about language using knowledge acquired during text-only pretraining. In…